diff --git a/examples/custom_ops/fused_attention.py b/examples/custom_ops/fused_attention.py
index 03d1367148..713df2746b 100644
--- a/examples/custom_ops/fused_attention.py
+++ b/examples/custom_ops/fused_attention.py
@@ -29,10 +29,18 @@ def main():
     path = Path(__file__).parent / "kernels.mojopkg"
 
     dtype = DType.float32
-    N = 8
-    D = 8
-    BD = 4
-    BN = 4
+
+    if accelerator_count() == 0:
+        N = 8
+        D = 8
+        BD = 4
+        BN = 4
+    else:
+        N = 32
+        D = 32
+        BD = 8
+        BN = 16
+
     with Graph(
         "fused_attention",
         input_types=[
diff --git a/examples/custom_ops/kernels/mandelbrot.mojo b/examples/custom_ops/kernels/mandelbrot.mojo
index bf190e21c8..ec00f0ba53 100644
--- a/examples/custom_ops/kernels/mandelbrot.mojo
+++ b/examples/custom_ops/kernels/mandelbrot.mojo
@@ -21,27 +21,6 @@ from runtime.asyncrt import DeviceContextPtr
 from utils.index import IndexList
 
 
-@always_inline
-fn mandelbrot_inner_simd[
-    float_type: DType, int_type: DType, simd_width: Int
-](
-    c: ComplexSIMD[float_type, simd_width], max_iterations: SIMD[int_type, 1]
-) -> SIMD[int_type, simd_width]:
-    """A vectorized implementation of the inner Mandelbrot computation."""
-    var z = ComplexSIMD[float_type, simd_width](0, 0)
-    var iters = SIMD[int_type, simd_width](0)
-
-    var in_set_mask: SIMD[DType.bool, simd_width] = True
-    for _ in range(max_iterations):
-        if not any(in_set_mask):
-            break
-        in_set_mask = z.squared_norm() <= 4
-        iters = in_set_mask.select(iters + 1, iters)
-        z = z.squared_add(c)
-
-    return iters
-
-
 alias float_dtype = DType.float32
 
 
@@ -68,8 +47,11 @@ struct Mandelbrot:
         fn elementwise_mandelbrot[
             width: Int
         ](idx: IndexList[out.rank]) -> SIMD[out.type, width]:
+            # Obtain the position in the grid from the X, Y thread locations.
             var row = idx[0]
             var col = idx[1]
+
+            # Calculate the complex C corresponding to that grid location.
             var cx = min_x.cast[float_dtype]() + (
                 col + iota[float_dtype, width]()
             ) * scale_x.cast[float_dtype]()
@@ -77,16 +59,18 @@ struct Mandelbrot:
                 scale_y.cast[float_dtype]()
             )
             var c = ComplexSIMD[float_dtype, width](cx, cy)
-            return mandelbrot_inner_simd[cx.type, out.type, width](
-                c, max_iterations.cast[out.type]()
-            )
+            var z = ComplexSIMD[float_dtype, width](0, 0)
 
-        foreach[elementwise_mandelbrot, target=target](out, ctx)
+            # Perform the Mandelbrot iteration loop calculation.
+            var iters = SIMD[out.type, width](0)
+            var in_set_mask: SIMD[DType.bool, width] = True
+            for _ in range(max_iterations):
+                if not any(in_set_mask):
+                    break
+                in_set_mask = z.squared_norm() <= 4
+                iters = in_set_mask.select(iters + 1, iters)
+                z = z.squared_add(c)
 
-    # You only need to implement this if you do not manually annotate
-    # output shapes in the graph.
-    @staticmethod
-    fn shape(
-        x: ManagedTensorSlice,
-    ) raises -> IndexList[x.rank]:
-        raise "NotImplemented"
+            return iters
+
+        foreach[elementwise_mandelbrot, target=target](out, ctx)
diff --git a/examples/custom_ops/kernels/matrix_multiplication.mojo b/examples/custom_ops/kernels/matrix_multiplication.mojo
index afc810b25a..f32e7049b2 100644
--- a/examples/custom_ops/kernels/matrix_multiplication.mojo
+++ b/examples/custom_ops/kernels/matrix_multiplication.mojo
@@ -11,7 +11,7 @@
 # limitations under the License.
 # ===----------------------------------------------------------------------=== #
 
-from gpu import WARP_SIZE, block_dim, block_idx, thread_idx
+from gpu import WARP_SIZE, barrier, block_dim, block_idx, thread_idx
 from gpu.host import DeviceBuffer, DeviceContext
 from gpu.memory import async_copy_wait_all
 from layout.layout_tensor import (
diff --git a/examples/custom_ops/magic.lock b/examples/custom_ops/magic.lock
index fecb96a5a0..6e648e1a18 100644
--- a/examples/custom_ops/magic.lock
+++ b/examples/custom_ops/magic.lock
@@ -42,11 +42,11 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda
@@ -107,11 +107,11 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libuuid-2.38.1-hb4cce97_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libxcrypt-4.4.36-h31becfc_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.1-h86ecc28_2.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/linux-aarch64/max-core-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-aarch64/max-core-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ncurses-6.5-ha32ae93_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/numpy-1.26.4-py312h470d778_0.conda
@@ -163,11 +163,11 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.49.1-h3f77e49_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.3.1-h8359307_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/llvm-openmp-19.1.7-hdb05f8b_0.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-h5e97a16_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-1.26.4-py312h8442bc7_0.conda
@@ -1301,48 +1301,48 @@ packages:
   license_family: APACHE
   size: 280830
   timestamp: 1736986295869
-- conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
+- conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: aa0c1db61615cc9eeb8c3ff93563f190169d44c9842a229dc22356b3fb39c1c1
-  md5: ff398daef8f5c7807b6a423a03ff69a5
+  sha256: b1e1d327b440cc4410242695b71af4107c55371ffa45ea6afc451b926b75ad06
+  md5: bc042a54567c146308baa503ecf64b53
   depends:
-  - max-core ==25.2.0.dev2025030106 release
-  - max-python ==25.2.0.dev2025030106 release
-  - mojo-jupyter ==25.2.0.dev2025030106 release
-  - mblack ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
+  - max-python ==25.2.0.dev2025030305 release
+  - mojo-jupyter ==25.2.0.dev2025030305 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 9904
-  timestamp: 1740812805176
-- conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030106-release.conda
-  sha256: 6cd9c8b031f6a8e6a42561a3b68b5d5d893e8b57cd608111cdebf5d27fd8073a
-  md5: 8d5deae1a12f695bb1b313fa10ba4332
+  size: 9912
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030305-release.conda
+  sha256: 3636ae685e256479172339fe8c5d674a843fa2fc686b576e3223034ec24c2632
+  md5: ff81362bc96cbd58884f73487150bba4
   depends:
-  - mblack ==25.2.0.dev2025030106 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 249844103
-  timestamp: 1740812805175
-- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-core-25.2.0.dev2025030106-release.conda
-  sha256: 05eca10ca12e8bc08ee92fbacbbd0283df899af3b527af77b9d184fb512a3783
-  md5: bbca6a0604e0d5591b3167b4203e72ee
+  size: 249912659
+  timestamp: 1740979075048
+- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-core-25.2.0.dev2025030305-release.conda
+  sha256: 8992d4b65fbb37be38b79d0b013b997af8ce4d297e9bfdf5967444e911b7fc09
+  md5: 8c2cf14006dda0791b1c82f6528e9b8a
   depends:
-  - mblack ==25.2.0.dev2025030106 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 252111155
-  timestamp: 1740812763755
-- conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030106-release.conda
-  sha256: 63c02e7c8e0430951e9cd4b4505afe9e191e5b0bbf5343f4fdedc39ddeeb63d0
-  md5: 257c1c4a080f1d9117b0d2d44dda3b06
+  size: 252209414
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030305-release.conda
+  sha256: abf6e1d66d53fdeb5ee40b9981b68f412ea5b0ca4d8e6401695e6f3e40577ba3
+  md5: 74e56cd46e352f72a2706cb18b3f57f8
   depends:
-  - mblack ==25.2.0.dev2025030106 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 217288777
-  timestamp: 1740813876536
-- conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030106-release.conda
+  size: 217419570
+  timestamp: 1740980182916
+- conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: fef4cdeded5a65511ad025d286cfcdeeba0dbda5a325ba05ab34e3da281256fc
-  md5: a89e5884fc3955acb191409c11c82d7f
+  sha256: 1eaa96322c64db1ea143c529a5ce3cb28bdc74abaedbb35011646fe4a8f5e746
+  md5: 5fc2738c9c7aa3b7a848825f4ab5fbd9
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - click >=8.0.0
   - numpy >=1.18,<2.0
   - sentencepiece >=0.2.0
@@ -1379,14 +1379,14 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 123614388
-  timestamp: 1740812805176
-- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030106-release.conda
+  size: 123616168
+  timestamp: 1740979075048
+- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: 35ca6e41ac83be72027aa30ab8e24874b790f205b6d1dfd2cbc6e36ea8ea9537
-  md5: 1ed03583fcda964b93e193808e643111
+  sha256: e7114c9fec921c82ccc6a41313dbfabb77ea5dfdf06b3e764cc3f8219dee942d
+  md5: 7965896da871ef6f5ec6d3e63754a7de
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - click >=8.0.0
   - numpy >=1.18,<2.0
   - sentencepiece >=0.2.0
@@ -1423,14 +1423,14 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 125987433
-  timestamp: 1740812763755
-- conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030106-release.conda
+  size: 125978148
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: ce716702ae9c7f2a5d194cbb19f8ffa70cd9956fe243dbb70985fc3679277c06
-  md5: 58f0a87442d47428ba3ee68b9e839a44
+  sha256: fec8e20e96fe5dca33a7f269e401121869b15fd2ba4b5ecd8eef9a2fe22d07c1
+  md5: 1e733edfaa00254c1149ee717540fa28
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - click >=8.0.0
   - numpy >=1.18,<2.0
   - sentencepiece >=0.2.0
@@ -1467,12 +1467,12 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 112588416
-  timestamp: 1740813876537
-- conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
+  size: 112590648
+  timestamp: 1740980182917
+- conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: 46eeb957d71a44b69341001b0c4a7718b8ac0ef195bf8c716e7ead02b15baba4
-  md5: 4f031fd6f2bf81cfba322178106b315e
+  sha256: 0f45f5a5c9949198034a22dc02747a815db7614ac0b081cd6be081c08e2820f3
+  md5: 91b18174cd7cf314753c91bf1e6ba7b4
   depends:
   - python >=3.9,<3.13
   - click >=8.0.0
@@ -1483,20 +1483,20 @@ packages:
   - typing_extensions >=v4.12.2
   - python
   license: MIT
-  size: 130843
-  timestamp: 1740812805175
-- conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+  size: 130864
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: 1453f8559b8ada824083fc236f73a1ad4922ac904daa15b0d574dbfc4669867a
-  md5: 6e064b52057bbd756183ef214c0c0100
+  sha256: 32f162a17a82318ec55fb9ff05158828c53cf850532b79e20fc01c4cb342acd3
+  md5: 0539b71f182f98f2ac274a3ba9420f63
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - python >=3.9,<3.13
   - jupyter_client >=8.6.2,<8.7
   - python
   license: LicenseRef-Modular-Proprietary
-  size: 22986
-  timestamp: 1740812805175
+  size: 22994
+  timestamp: 1740979061163
 - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_1.conda
   sha256: 1895f47b7d68581a6facde5cb13ab8c2764c2e53a76bd746f8f98910dc4e08fe
   md5: 29097e7ea634a45cc5386b95cac6568f
diff --git a/examples/custom_ops/mandelbrot.py b/examples/custom_ops/mandelbrot.py
index b1d4855171..da983fdb26 100644
--- a/examples/custom_ops/mandelbrot.py
+++ b/examples/custom_ops/mandelbrot.py
@@ -20,6 +20,21 @@
 from max.graph import Graph, TensorType, ops
 
 
+def draw_mandelbrot(tensor: Tensor, width: int, height: int, iterations: int):
+    """A helper function to visualize the Mandelbrot set in ASCII art."""
+    sr = "....,c8M@jawrpogOQEPGJ"
+    for row in range(height):
+        for col in range(width):
+            v = tensor[row, col].item()
+            if v < iterations:
+                idx = int(v % len(sr))
+                p = sr[idx]
+                print(p, end="")
+            else:
+                print(" ", end="")
+        print("")
+
+
 def create_mandelbrot_graph(
     width: int,
     height: int,
@@ -61,10 +76,10 @@ def create_mandelbrot_graph(
     path = Path(__file__).parent / "kernels.mojopkg"
 
     # Establish Mandelbrot set ranges.
-    WIDTH = 15
-    HEIGHT = 15
+    WIDTH = 60
+    HEIGHT = 25
     MAX_ITERATIONS = 100
-    MIN_X = -1.5
+    MIN_X = -2.0
     MAX_X = 0.7
     MIN_Y = -1.12
     MAX_Y = 1.12
@@ -94,6 +109,4 @@ def create_mandelbrot_graph(
     assert isinstance(result, Tensor)
     result = result.to(CPU())
 
-    print("Iterations to escape:")
-    print(result.to_numpy())
-    print()
+    draw_mandelbrot(result, WIDTH, HEIGHT, MAX_ITERATIONS)
diff --git a/examples/custom_ops/mojoproject.toml b/examples/custom_ops/mojoproject.toml
index 6060ef77bf..038102c840 100644
--- a/examples/custom_ops/mojoproject.toml
+++ b/examples/custom_ops/mojoproject.toml
@@ -10,13 +10,27 @@ version = "0.1.0"
 package = "mojo package kernels/ -o kernels.mojopkg"
 addition = { cmd = "python addition.py", depends-on = ["package"] }
 mandelbrot = { cmd = "python mandelbrot.py", depends-on = ["package"] }
-vector_addition = { cmd = "python vector_addition.py", depends-on = ["package"] }
+vector_addition = { cmd = "python vector_addition.py", depends-on = [
+  "package",
+] }
 top_k = { cmd = "python top_k.py", depends-on = ["package"] }
-fused_attention = { cmd = "python fused_attention.py", depends-on = ["package"] }
-matrix_multiplication = { cmd = "python matrix_multiplication.py", depends-on = ["package"] }
+fused_attention = { cmd = "python fused_attention.py", depends-on = [
+  "package",
+] }
+matrix_multiplication = { cmd = "python matrix_multiplication.py", depends-on = [
+  "package",
+] }
 histogram = { cmd = "python histogram.py", depends-on = ["package"] }
 benchmark = { cmd = "mojo benchmarks.mojo", depends-on = ["package"] }
-test = { depends-on = ["addition", "mandelbrot", "vector_addition", "top_k", "matrix_multiplication", "benchmark"] }
+test = { depends-on = [
+  "addition",
+  "mandelbrot",
+  "vector_addition",
+  "top_k",
+  "fused_attention",
+  "matrix_multiplication",
+  "benchmark",
+] }
 
 [dependencies]
 python = ">=3.9,<3.13"
diff --git a/examples/gpu_functions/magic.lock b/examples/gpu_functions/magic.lock
index fecb96a5a0..6e648e1a18 100644
--- a/examples/gpu_functions/magic.lock
+++ b/examples/gpu_functions/magic.lock
@@ -42,11 +42,11 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda
@@ -107,11 +107,11 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libuuid-2.38.1-hb4cce97_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libxcrypt-4.4.36-h31becfc_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.1-h86ecc28_2.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
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-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-aarch64/max-core-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ncurses-6.5-ha32ae93_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/numpy-1.26.4-py312h470d778_0.conda
@@ -163,11 +163,11 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.3.1-h8359307_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/llvm-openmp-19.1.7-hdb05f8b_0.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
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-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-h5e97a16_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-1.26.4-py312h8442bc7_0.conda
@@ -1301,48 +1301,48 @@ packages:
   license_family: APACHE
   size: 280830
   timestamp: 1736986295869
-- conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
+- conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: aa0c1db61615cc9eeb8c3ff93563f190169d44c9842a229dc22356b3fb39c1c1
-  md5: ff398daef8f5c7807b6a423a03ff69a5
+  sha256: b1e1d327b440cc4410242695b71af4107c55371ffa45ea6afc451b926b75ad06
+  md5: bc042a54567c146308baa503ecf64b53
   depends:
-  - max-core ==25.2.0.dev2025030106 release
-  - max-python ==25.2.0.dev2025030106 release
-  - mojo-jupyter ==25.2.0.dev2025030106 release
-  - mblack ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
+  - max-python ==25.2.0.dev2025030305 release
+  - mojo-jupyter ==25.2.0.dev2025030305 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 9904
-  timestamp: 1740812805176
-- conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030106-release.conda
-  sha256: 6cd9c8b031f6a8e6a42561a3b68b5d5d893e8b57cd608111cdebf5d27fd8073a
-  md5: 8d5deae1a12f695bb1b313fa10ba4332
+  size: 9912
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030305-release.conda
+  sha256: 3636ae685e256479172339fe8c5d674a843fa2fc686b576e3223034ec24c2632
+  md5: ff81362bc96cbd58884f73487150bba4
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+  - mblack ==25.2.0.dev2025030305 release
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-  size: 249844103
-  timestamp: 1740812805175
-- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-core-25.2.0.dev2025030106-release.conda
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-  md5: bbca6a0604e0d5591b3167b4203e72ee
+  size: 249912659
+  timestamp: 1740979075048
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+  md5: 8c2cf14006dda0791b1c82f6528e9b8a
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-  - mblack ==25.2.0.dev2025030106 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 252111155
-  timestamp: 1740812763755
-- conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030106-release.conda
-  sha256: 63c02e7c8e0430951e9cd4b4505afe9e191e5b0bbf5343f4fdedc39ddeeb63d0
-  md5: 257c1c4a080f1d9117b0d2d44dda3b06
+  size: 252209414
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030305-release.conda
+  sha256: abf6e1d66d53fdeb5ee40b9981b68f412ea5b0ca4d8e6401695e6f3e40577ba3
+  md5: 74e56cd46e352f72a2706cb18b3f57f8
   depends:
-  - mblack ==25.2.0.dev2025030106 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 217288777
-  timestamp: 1740813876536
-- conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030106-release.conda
+  size: 217419570
+  timestamp: 1740980182916
+- conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: fef4cdeded5a65511ad025d286cfcdeeba0dbda5a325ba05ab34e3da281256fc
-  md5: a89e5884fc3955acb191409c11c82d7f
+  sha256: 1eaa96322c64db1ea143c529a5ce3cb28bdc74abaedbb35011646fe4a8f5e746
+  md5: 5fc2738c9c7aa3b7a848825f4ab5fbd9
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - click >=8.0.0
   - numpy >=1.18,<2.0
   - sentencepiece >=0.2.0
@@ -1379,14 +1379,14 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 123614388
-  timestamp: 1740812805176
-- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030106-release.conda
+  size: 123616168
+  timestamp: 1740979075048
+- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: 35ca6e41ac83be72027aa30ab8e24874b790f205b6d1dfd2cbc6e36ea8ea9537
-  md5: 1ed03583fcda964b93e193808e643111
+  sha256: e7114c9fec921c82ccc6a41313dbfabb77ea5dfdf06b3e764cc3f8219dee942d
+  md5: 7965896da871ef6f5ec6d3e63754a7de
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - click >=8.0.0
   - numpy >=1.18,<2.0
   - sentencepiece >=0.2.0
@@ -1423,14 +1423,14 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 125987433
-  timestamp: 1740812763755
-- conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030106-release.conda
+  size: 125978148
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: ce716702ae9c7f2a5d194cbb19f8ffa70cd9956fe243dbb70985fc3679277c06
-  md5: 58f0a87442d47428ba3ee68b9e839a44
+  sha256: fec8e20e96fe5dca33a7f269e401121869b15fd2ba4b5ecd8eef9a2fe22d07c1
+  md5: 1e733edfaa00254c1149ee717540fa28
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - click >=8.0.0
   - numpy >=1.18,<2.0
   - sentencepiece >=0.2.0
@@ -1467,12 +1467,12 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 112588416
-  timestamp: 1740813876537
-- conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
+  size: 112590648
+  timestamp: 1740980182917
+- conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: 46eeb957d71a44b69341001b0c4a7718b8ac0ef195bf8c716e7ead02b15baba4
-  md5: 4f031fd6f2bf81cfba322178106b315e
+  sha256: 0f45f5a5c9949198034a22dc02747a815db7614ac0b081cd6be081c08e2820f3
+  md5: 91b18174cd7cf314753c91bf1e6ba7b4
   depends:
   - python >=3.9,<3.13
   - click >=8.0.0
@@ -1483,20 +1483,20 @@ packages:
   - typing_extensions >=v4.12.2
   - python
   license: MIT
-  size: 130843
-  timestamp: 1740812805175
-- conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+  size: 130864
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
   noarch: python
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-  md5: 6e064b52057bbd756183ef214c0c0100
+  sha256: 32f162a17a82318ec55fb9ff05158828c53cf850532b79e20fc01c4cb342acd3
+  md5: 0539b71f182f98f2ac274a3ba9420f63
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - python >=3.9,<3.13
   - jupyter_client >=8.6.2,<8.7
   - python
   license: LicenseRef-Modular-Proprietary
-  size: 22986
-  timestamp: 1740812805175
+  size: 22994
+  timestamp: 1740979061163
 - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_1.conda
   sha256: 1895f47b7d68581a6facde5cb13ab8c2764c2e53a76bd746f8f98910dc4e08fe
   md5: 29097e7ea634a45cc5386b95cac6568f
diff --git a/examples/graph-api/magic.lock b/examples/graph-api/magic.lock
index fecb96a5a0..6e648e1a18 100644
--- a/examples/graph-api/magic.lock
+++ b/examples/graph-api/magic.lock
@@ -42,11 +42,11 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
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-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
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diff --git a/examples/inference/bert-c-torchscript/magic.lock b/examples/inference/bert-c-torchscript/magic.lock
index cdfe8a4ec1..e4858267f8 100644
--- a/examples/inference/bert-c-torchscript/magic.lock
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index ca4445b192..528cf9cbb6 100644
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diff --git a/examples/inference/bert-python-torchscript/magic.lock b/examples/inference/bert-python-torchscript/magic.lock
index ca4445b192..528cf9cbb6 100644
--- a/examples/inference/bert-python-torchscript/magic.lock
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diff --git a/examples/inference/resnet50-python-torchscript/magic.lock b/examples/inference/resnet50-python-torchscript/magic.lock
index b81fe9884e..7d4a0a0628 100644
--- a/examples/inference/resnet50-python-torchscript/magic.lock
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diff --git a/examples/inference/stable-diffusion-mojo-onnx/magic.lock b/examples/inference/stable-diffusion-mojo-onnx/magic.lock
index 693c9f710b..291b82bdf9 100644
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diff --git a/examples/inference/stable-diffusion-python-onnx/magic.lock b/examples/inference/stable-diffusion-python-onnx/magic.lock
index 1512c4638d..5e9395a6d0 100644
--- a/examples/inference/stable-diffusion-python-onnx/magic.lock
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diff --git a/examples/inference/yolo-python-onnx/magic.lock b/examples/inference/yolo-python-onnx/magic.lock
index 5590ef508a..ffb56d2a8a 100644
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-- conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030106-release.conda
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diff --git a/examples/mojo/life/magic.lock b/examples/mojo/life/magic.lock
index 0a55f35660..43f588cefa 100644
--- a/examples/mojo/life/magic.lock
+++ b/examples/mojo/life/magic.lock
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diff --git a/examples/mojo/magic.lock b/examples/mojo/magic.lock
index d8f283bf2b..04ec6513d9 100644
--- a/examples/mojo/magic.lock
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index fecb96a5a0..6e648e1a18 100644
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index fecb96a5a0..6e648e1a18 100644
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diff --git a/examples/notebooks/magic.lock b/examples/notebooks/magic.lock
index 48b30a28f1..3092026435 100644
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diff --git a/examples/offline-inference/magic.lock b/examples/offline-inference/magic.lock
index c60e9a40ba..86aa96526e 100644
--- a/examples/offline-inference/magic.lock
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   size: 21085
   timestamp: 1733217331982
-- conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
-  sha256: 75245ca9d0cbd6d38bb45ec02430189a9d4c21c055c5259739d738a2298d61b3
-  md5: 799ed216dc6af62520f32aa39bc1c2bb
+- conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.5-pyhd8ed1ab_0.conda
+  sha256: 963524de7340c56615583ba7b97a6beb20d5c56a59defb59724dc2a3105169c9
+  md5: c3c9316209dec74a705a36797970c6be
   depends:
   - colorama
   - exceptiongroup >=1.0.0rc8
@@ -7055,9 +7055,8 @@ packages:
   constrains:
   - pytest-faulthandler >=2
   license: MIT
-  license_family: MIT
-  size: 259195
-  timestamp: 1733217599806
+  size: 259816
+  timestamp: 1740946648058
 - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.9-h9e4cc4f_0_cpython.conda
   sha256: 64fed5178f1e9c8ac0f572ac0ce37955f5dee7b2bcac665202bc14f1f7dd618a
   md5: 5665f0079432f8848079c811cdb537d5
diff --git a/mojo/docs/changelog.md b/mojo/docs/changelog.md
index 750d44f331..07f594faec 100644
--- a/mojo/docs/changelog.md
+++ b/mojo/docs/changelog.md
@@ -24,6 +24,21 @@ what we publish.
   including ones that return floating point values.  This allows functions
   like `round` to be constant folded when used in a comptime context.
 
+- References to aliases in struct types with unbound (or partially) bound
+  parameters sets are now allowed as long as the referenced alias doesn't
+  depend on any unbound parameters:
+
+  ```mojo
+  struct StructWithParam[a: Int, b: Int]:
+    alias a1 = 42
+    alias a2 = a+1
+
+  fn test():
+    _ = StructWithParams.a1 # ok
+    _ = StructWithParams[1].a2 # ok
+    _ = StructWithParams.a2 # error, 'a' is unbound.
+  ```
+
 ### Standard library changes
 
 - The `Buffer` struct has been removed in favor of `Span` and `NDBuffer`.
@@ -126,6 +141,12 @@ what we publish.
   an issue with the any origin parameter extending the lifetime of unrelated
   local variables for this common method.
 
+- The `SIMD` type now exposes 128-bit and 256-bit element types, with
+  `DType.uint128`, `DType.int128`, `DType.uint256`, and `DType.int256`. Note
+  that this exposes capabilities (and limitations) of LLVM, which may not always
+  provide high performance for these types and may have missing operations like
+  divide, remainder, etc.
+
 ### GPU changes
 
 - You can now skip compiling a GPU kernel first and then enqueueing it:
@@ -251,4 +272,7 @@ ctx.enqueue_function(compiled_func, grid_dim=1, block_dim=1)
   end_result.extend(extra_data) # [4, 5, 8, 10]
   ```
 
+- Use of legacy argument conventions like `inout` and the use of `as` in named
+  results now produces an error message instead of a warning.
+
 ### 🛠️ Fixed
diff --git a/mojo/magic.lock b/mojo/magic.lock
index 340f30573b..f806c9d119 100644
--- a/mojo/magic.lock
+++ b/mojo/magic.lock
@@ -43,11 +43,11 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/lit-19.1.7-pyhd8ed1ab_1.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda
@@ -109,11 +109,11 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libxcrypt-4.4.36-h31becfc_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/libzlib-1.3.1-h86ecc28_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/lit-19.1.7-pyhd8ed1ab_1.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/linux-aarch64/max-core-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-aarch64/max-core-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ncurses-6.5-ha32ae93_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/numpy-1.26.4-py312h470d778_0.conda
@@ -166,11 +166,11 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.3.1-h8359307_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/lit-19.1.7-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/llvm-openmp-19.1.7-hdb05f8b_0.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-h5e97a16_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-1.26.4-py312h8442bc7_0.conda
@@ -1313,48 +1313,48 @@ packages:
   license_family: APACHE
   size: 280830
   timestamp: 1736986295869
-- conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
+- conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: aa0c1db61615cc9eeb8c3ff93563f190169d44c9842a229dc22356b3fb39c1c1
-  md5: ff398daef8f5c7807b6a423a03ff69a5
+  sha256: b1e1d327b440cc4410242695b71af4107c55371ffa45ea6afc451b926b75ad06
+  md5: bc042a54567c146308baa503ecf64b53
   depends:
-  - max-core ==25.2.0.dev2025030106 release
-  - max-python ==25.2.0.dev2025030106 release
-  - mojo-jupyter ==25.2.0.dev2025030106 release
-  - mblack ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
+  - max-python ==25.2.0.dev2025030305 release
+  - mojo-jupyter ==25.2.0.dev2025030305 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 9904
-  timestamp: 1740812805176
-- conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030106-release.conda
-  sha256: 6cd9c8b031f6a8e6a42561a3b68b5d5d893e8b57cd608111cdebf5d27fd8073a
-  md5: 8d5deae1a12f695bb1b313fa10ba4332
+  size: 9912
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030305-release.conda
+  sha256: 3636ae685e256479172339fe8c5d674a843fa2fc686b576e3223034ec24c2632
+  md5: ff81362bc96cbd58884f73487150bba4
   depends:
-  - mblack ==25.2.0.dev2025030106 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 249844103
-  timestamp: 1740812805175
-- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-core-25.2.0.dev2025030106-release.conda
-  sha256: 05eca10ca12e8bc08ee92fbacbbd0283df899af3b527af77b9d184fb512a3783
-  md5: bbca6a0604e0d5591b3167b4203e72ee
+  size: 249912659
+  timestamp: 1740979075048
+- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-core-25.2.0.dev2025030305-release.conda
+  sha256: 8992d4b65fbb37be38b79d0b013b997af8ce4d297e9bfdf5967444e911b7fc09
+  md5: 8c2cf14006dda0791b1c82f6528e9b8a
   depends:
-  - mblack ==25.2.0.dev2025030106 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 252111155
-  timestamp: 1740812763755
-- conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030106-release.conda
-  sha256: 63c02e7c8e0430951e9cd4b4505afe9e191e5b0bbf5343f4fdedc39ddeeb63d0
-  md5: 257c1c4a080f1d9117b0d2d44dda3b06
+  size: 252209414
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030305-release.conda
+  sha256: abf6e1d66d53fdeb5ee40b9981b68f412ea5b0ca4d8e6401695e6f3e40577ba3
+  md5: 74e56cd46e352f72a2706cb18b3f57f8
   depends:
-  - mblack ==25.2.0.dev2025030106 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 217288777
-  timestamp: 1740813876536
-- conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030106-release.conda
+  size: 217419570
+  timestamp: 1740980182916
+- conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: fef4cdeded5a65511ad025d286cfcdeeba0dbda5a325ba05ab34e3da281256fc
-  md5: a89e5884fc3955acb191409c11c82d7f
+  sha256: 1eaa96322c64db1ea143c529a5ce3cb28bdc74abaedbb35011646fe4a8f5e746
+  md5: 5fc2738c9c7aa3b7a848825f4ab5fbd9
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - click >=8.0.0
   - numpy >=1.18,<2.0
   - sentencepiece >=0.2.0
@@ -1391,14 +1391,14 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 123614388
-  timestamp: 1740812805176
-- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030106-release.conda
+  size: 123616168
+  timestamp: 1740979075048
+- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: 35ca6e41ac83be72027aa30ab8e24874b790f205b6d1dfd2cbc6e36ea8ea9537
-  md5: 1ed03583fcda964b93e193808e643111
+  sha256: e7114c9fec921c82ccc6a41313dbfabb77ea5dfdf06b3e764cc3f8219dee942d
+  md5: 7965896da871ef6f5ec6d3e63754a7de
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - click >=8.0.0
   - numpy >=1.18,<2.0
   - sentencepiece >=0.2.0
@@ -1435,14 +1435,14 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 125987433
-  timestamp: 1740812763755
-- conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030106-release.conda
+  size: 125978148
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: ce716702ae9c7f2a5d194cbb19f8ffa70cd9956fe243dbb70985fc3679277c06
-  md5: 58f0a87442d47428ba3ee68b9e839a44
+  sha256: fec8e20e96fe5dca33a7f269e401121869b15fd2ba4b5ecd8eef9a2fe22d07c1
+  md5: 1e733edfaa00254c1149ee717540fa28
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - click >=8.0.0
   - numpy >=1.18,<2.0
   - sentencepiece >=0.2.0
@@ -1479,12 +1479,12 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 112588416
-  timestamp: 1740813876537
-- conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
+  size: 112590648
+  timestamp: 1740980182917
+- conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: 46eeb957d71a44b69341001b0c4a7718b8ac0ef195bf8c716e7ead02b15baba4
-  md5: 4f031fd6f2bf81cfba322178106b315e
+  sha256: 0f45f5a5c9949198034a22dc02747a815db7614ac0b081cd6be081c08e2820f3
+  md5: 91b18174cd7cf314753c91bf1e6ba7b4
   depends:
   - python >=3.9,<3.13
   - click >=8.0.0
@@ -1495,20 +1495,20 @@ packages:
   - typing_extensions >=v4.12.2
   - python
   license: MIT
-  size: 130843
-  timestamp: 1740812805175
-- conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+  size: 130864
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: 1453f8559b8ada824083fc236f73a1ad4922ac904daa15b0d574dbfc4669867a
-  md5: 6e064b52057bbd756183ef214c0c0100
+  sha256: 32f162a17a82318ec55fb9ff05158828c53cf850532b79e20fc01c4cb342acd3
+  md5: 0539b71f182f98f2ac274a3ba9420f63
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - python >=3.9,<3.13
   - jupyter_client >=8.6.2,<8.7
   - python
   license: LicenseRef-Modular-Proprietary
-  size: 22986
-  timestamp: 1740812805175
+  size: 22994
+  timestamp: 1740979061163
 - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_1.conda
   sha256: 1895f47b7d68581a6facde5cb13ab8c2764c2e53a76bd746f8f98910dc4e08fe
   md5: 29097e7ea634a45cc5386b95cac6568f
diff --git a/mojo/stdlib/src/builtin/dtype.mojo b/mojo/stdlib/src/builtin/dtype.mojo
index 7b790253c3..090f9448b6 100644
--- a/mojo/stdlib/src/builtin/dtype.mojo
+++ b/mojo/stdlib/src/builtin/dtype.mojo
@@ -64,6 +64,22 @@ struct DType(
     """Represents a signed integer type whose bitwidth is 64."""
     alias uint64 = DType(__mlir_attr.`#kgen.dtype.constant<ui64> : !kgen.dtype`)
     """Represents an unsigned integer type whose bitwidth is 64."""
+    alias int128 = DType(
+        __mlir_attr.`#kgen.dtype.constant<si128> : !kgen.dtype`
+    )
+    """Represents a signed integer type whose bitwidth is 128."""
+    alias uint128 = DType(
+        __mlir_attr.`#kgen.dtype.constant<ui128> : !kgen.dtype`
+    )
+    """Represents an unsigned integer type whose bitwidth is 128."""
+    alias int256 = DType(
+        __mlir_attr.`#kgen.dtype.constant<si256> : !kgen.dtype`
+    )
+    """Represents a signed integer type whose bitwidth is 256."""
+    alias uint256 = DType(
+        __mlir_attr.`#kgen.dtype.constant<ui256> : !kgen.dtype`
+    )
+    """Represents an unsigned integer type whose bitwidth is 256."""
     alias float8_e5m2 = DType(
         __mlir_attr.`#kgen.dtype.constant<f8e5m2> : !kgen.dtype`
     )
diff --git a/mojo/stdlib/src/builtin/simd.mojo b/mojo/stdlib/src/builtin/simd.mojo
index 3a39d1c5ed..39b5bd687c 100644
--- a/mojo/stdlib/src/builtin/simd.mojo
+++ b/mojo/stdlib/src/builtin/simd.mojo
@@ -205,11 +205,7 @@ fn _unchecked_zero[type: DType, size: Int]() -> SIMD[type, size]:
             value = __mlir_attr[`#pop.simd<0> : !pop.scalar<index>`],
         ]()
     )
-    return SIMD[type, size](
-        __mlir_op.`pop.simd.splat`[
-            _type = __mlir_type[`!pop.simd<`, size.value, `, `, type.value, `>`]
-        ](zero)
-    )
+    return Scalar[type](zero)
 
 
 @always_inline("nodebug")
@@ -393,9 +389,7 @@ struct SIMD[type: DType, size: Int](
         var casted = __mlir_op.`pop.cast`[
             _type = __mlir_type[`!pop.simd<1,`, type.value, `>`]
         ](t0)
-        self.value = __mlir_op.`pop.simd.splat`[
-            _type = __mlir_type[`!pop.simd<`, size.value, `, `, type.value, `>`]
-        ](casted)
+        self = Scalar[type](casted)
 
     @always_inline
     fn __init__[T: Floatable](out self: Scalar[DType.float64], value: T):
@@ -448,9 +442,7 @@ struct SIMD[type: DType, size: Int](
         var casted = __mlir_op.`pop.cast`[
             _type = __mlir_type[`!pop.simd<1,`, type.value, `>`]
         ](t0)
-        self.value = __mlir_op.`pop.simd.splat`[
-            _type = __mlir_type[`!pop.simd<`, size.value, `, `, type.value, `>`]
-        ](casted)
+        self = Scalar[type](casted)
 
     @always_inline("nodebug")
     @implicit
@@ -467,9 +459,7 @@ struct SIMD[type: DType, size: Int](
         var casted = __mlir_op.`pop.cast`[
             _type = __mlir_type[`!pop.simd<1, bool>`]
         ](value._as_scalar_bool())
-        self.value = __mlir_op.`pop.simd.splat`[
-            _type = __mlir_type[`!pop.simd<`, size.value, `, bool>`]
-        ](casted)
+        self = Scalar[DType.bool](casted)
 
     @always_inline("nodebug")
     @implicit
@@ -550,153 +540,91 @@ struct SIMD[type: DType, size: Int](
             type.is_floating_point(), "the SIMD type must be floating point"
         ]()
 
-        # TODO (#36686): This introduces unneeded casts here to work around
-        # parameter if issues.
+        var result: Scalar[type]
+
         @parameter
         if type is DType.float8_e4m3fn:
-            self = SIMD[type, size](
-                __mlir_op.`pop.simd.splat`[
-                    _type = __mlir_type[
-                        `!pop.simd<`, size.value, `,`, type.value, `>`
-                    ]
+            result = rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
+                __mlir_op.`pop.cast_from_builtin`[
+                    _type = __mlir_type[`!pop.scalar<f8e4m3fn>`]
                 ](
-                    rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
-                        __mlir_op.`pop.cast_from_builtin`[
-                            _type = __mlir_type[`!pop.scalar<f8e4m3fn>`]
-                        ](
-                            __mlir_op.`kgen.float_literal.convert`[
-                                _type = __mlir_type.f8E4M3FN
-                            ](value.value)
-                        )
-                    )
+                    __mlir_op.`kgen.float_literal.convert`[
+                        _type = __mlir_type.f8E4M3FN
+                    ](value.value)
                 )
             )
         elif type is DType.float8_e4m3fnuz:
-            self = SIMD[type, size](
-                __mlir_op.`pop.simd.splat`[
-                    _type = __mlir_type[
-                        `!pop.simd<`, size.value, `,`, type.value, `>`
-                    ]
+            result = rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
+                __mlir_op.`pop.cast_from_builtin`[
+                    _type = __mlir_type[`!pop.scalar<f8e4m3fnuz>`]
                 ](
-                    rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
-                        __mlir_op.`pop.cast_from_builtin`[
-                            _type = __mlir_type[`!pop.scalar<f8e4m3fnuz>`]
-                        ](
-                            __mlir_op.`kgen.float_literal.convert`[
-                                _type = __mlir_type.f8E4M3FNUZ
-                            ](value.value)
-                        )
-                    )
+                    __mlir_op.`kgen.float_literal.convert`[
+                        _type = __mlir_type.f8E4M3FNUZ
+                    ](value.value)
                 )
             )
         elif type is DType.float8_e5m2:
-            self = SIMD[type, size](
-                __mlir_op.`pop.simd.splat`[
-                    _type = __mlir_type[
-                        `!pop.simd<`, size.value, `,`, type.value, `>`
-                    ]
+            result = rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
+                __mlir_op.`pop.cast_from_builtin`[
+                    _type = __mlir_type[`!pop.scalar<f8e5m2>`]
                 ](
-                    rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
-                        __mlir_op.`pop.cast_from_builtin`[
-                            _type = __mlir_type[`!pop.scalar<f8e5m2>`]
-                        ](
-                            __mlir_op.`kgen.float_literal.convert`[
-                                _type = __mlir_type.f8E5M2
-                            ](value.value)
-                        )
-                    )
+                    __mlir_op.`kgen.float_literal.convert`[
+                        _type = __mlir_type.f8E5M2
+                    ](value.value)
                 )
             )
         elif type is DType.float8_e5m2fnuz:
-            self = SIMD[type, size](
-                __mlir_op.`pop.simd.splat`[
-                    _type = __mlir_type[
-                        `!pop.simd<`, size.value, `,`, type.value, `>`
-                    ]
+            result = rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
+                __mlir_op.`pop.cast_from_builtin`[
+                    _type = __mlir_type[`!pop.scalar<f8e5m2fnuz>`]
                 ](
-                    rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
-                        __mlir_op.`pop.cast_from_builtin`[
-                            _type = __mlir_type[`!pop.scalar<f8e5m2fnuz>`]
-                        ](
-                            __mlir_op.`kgen.float_literal.convert`[
-                                _type = __mlir_type.f8E5M2FNUZ
-                            ](value.value)
-                        )
-                    )
+                    __mlir_op.`kgen.float_literal.convert`[
+                        _type = __mlir_type.f8E5M2FNUZ
+                    ](value.value)
                 )
             )
         elif type is DType.float16:
-            self = SIMD[type, size](
-                __mlir_op.`pop.simd.splat`[
-                    _type = __mlir_type[
-                        `!pop.simd<`, size.value, `,`, type.value, `>`
-                    ]
+            result = rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
+                __mlir_op.`pop.cast_from_builtin`[
+                    _type = __mlir_type[`!pop.scalar<f16>`]
                 ](
-                    rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
-                        __mlir_op.`pop.cast_from_builtin`[
-                            _type = __mlir_type[`!pop.scalar<f16>`]
-                        ](
-                            __mlir_op.`kgen.float_literal.convert`[
-                                _type = __mlir_type.f16
-                            ](value.value)
-                        )
-                    )
+                    __mlir_op.`kgen.float_literal.convert`[
+                        _type = __mlir_type.f16
+                    ](value.value)
                 )
             )
         elif type is DType.bfloat16:
-            self = Self(
-                __mlir_op.`pop.simd.splat`[
-                    _type = __mlir_type[
-                        `!pop.simd<`, size.value, `,`, type.value, `>`
-                    ]
+            result = rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
+                __mlir_op.`pop.cast_from_builtin`[
+                    _type = __mlir_type[`!pop.scalar<bf16>`]
                 ](
-                    rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
-                        __mlir_op.`pop.cast_from_builtin`[
-                            _type = __mlir_type[`!pop.scalar<bf16>`]
-                        ](
-                            __mlir_op.`kgen.float_literal.convert`[
-                                _type = __mlir_type.bf16
-                            ](value.value)
-                        )
-                    )
+                    __mlir_op.`kgen.float_literal.convert`[
+                        _type = __mlir_type.bf16
+                    ](value.value)
                 )
             )
         elif type is DType.float32:
-            self = Self(
-                __mlir_op.`pop.simd.splat`[
-                    _type = __mlir_type[
-                        `!pop.simd<`, size.value, `,`, type.value, `>`
-                    ]
+            result = rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
+                __mlir_op.`pop.cast_from_builtin`[
+                    _type = __mlir_type[`!pop.scalar<f32>`]
                 ](
-                    rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
-                        __mlir_op.`pop.cast_from_builtin`[
-                            _type = __mlir_type[`!pop.scalar<f32>`]
-                        ](
-                            __mlir_op.`kgen.float_literal.convert`[
-                                _type = __mlir_type.f32
-                            ](value.value)
-                        )
-                    )
+                    __mlir_op.`kgen.float_literal.convert`[
+                        _type = __mlir_type.f32
+                    ](value.value)
                 )
             )
         else:
-            self = Self(
-                __mlir_op.`pop.simd.splat`[
-                    _type = __mlir_type[
-                        `!pop.simd<`, size.value, `,`, type.value, `>`
-                    ]
+            result = rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
+                __mlir_op.`pop.cast_from_builtin`[
+                    _type = __mlir_type[`!pop.scalar<f64>`]
                 ](
-                    rebind[__mlir_type[`!pop.scalar<`, type.value, `>`]](
-                        __mlir_op.`pop.cast_from_builtin`[
-                            _type = __mlir_type[`!pop.scalar<f64>`]
-                        ](
-                            __mlir_op.`kgen.float_literal.convert`[
-                                _type = __mlir_type.f64
-                            ](value.value)
-                        )
-                    )
+                    __mlir_op.`kgen.float_literal.convert`[
+                        _type = __mlir_type.f64
+                    ](value.value)
                 )
             )
+        # Finally, splat the scalar to a SIMD if needed.
+        self = result
 
     @staticmethod
     fn from_bits[
diff --git a/mojo/stdlib/src/hashlib/_ahash.mojo b/mojo/stdlib/src/hashlib/_ahash.mojo
index c2a2e39f27..186a1b44e2 100644
--- a/mojo/stdlib/src/hashlib/_ahash.mojo
+++ b/mojo/stdlib/src/hashlib/_ahash.mojo
@@ -12,7 +12,7 @@
 # ===----------------------------------------------------------------------=== #
 
 from bit import byte_swap, rotate_bits_left
-from memory import UnsafePointer
+from memory import UnsafePointer, bitcast
 
 from ._hasher import _HashableWithHasher, _Hasher
 
@@ -25,7 +25,6 @@ alias ROT = 23
 @always_inline
 fn _folded_multiply(lhs: UInt64, rhs: UInt64) -> UInt64:
     """A fast function to emulate a folded multiply of two 64 bit uints.
-    Used because we don't have UInt128 type.
 
     Args:
         lhs: 64 bit uint.
@@ -34,16 +33,10 @@ fn _folded_multiply(lhs: UInt64, rhs: UInt64) -> UInt64:
     Returns:
         A value which is similar in its bitpattern to result of a folded multply.
     """
-    l = __mlir_op.`pop.cast`[_type = __mlir_type.`!pop.scalar<ui128>`](
-        lhs.value
-    )
-    r = __mlir_op.`pop.cast`[_type = __mlir_type.`!pop.scalar<ui128>`](
-        rhs.value
-    )
-    m = __mlir_op.`pop.mul`(l, r)
-    res = SIMD[DType.uint64, 2](
-        __mlir_op.`pop.bitcast`[_type = __mlir_type.`!pop.simd<2, ui64>`](m)
-    )
+    # Extend to 128 bits and multiply.
+    m = lhs.cast[DType.uint128]() * rhs.cast[DType.uint128]()
+    # Extract the high and low 64 bits.
+    res = bitcast[DType.uint64, 2](m)
     return res[0] ^ res[1]
 
 
diff --git a/mojo/stdlib/src/math/math.mojo b/mojo/stdlib/src/math/math.mojo
index 14d3f91e25..05a2e66099 100644
--- a/mojo/stdlib/src/math/math.mojo
+++ b/mojo/stdlib/src/math/math.mojo
@@ -977,8 +977,8 @@ fn isclose[
     a: SIMD[type, simd_width],
     b: SIMD[type, simd_width],
     *,
-    atol: Scalar[type] = 1e-08,
-    rtol: Scalar[type] = 1e-05,
+    atol: Float64 = 1e-08,
+    rtol: Float64 = 1e-05,
     equal_nan: Bool = False,
 ) -> SIMD[DType.bool, simd_width]:
     """Checks if the two input values are numerically within a tolerance.
@@ -1024,7 +1024,9 @@ fn isclose[
             & isfinite(b)
             & (
                 abs(a - b)
-                <= max(__type_of(a)(atol), rtol * max(abs(a), abs(b)))
+                <= max(
+                    __type_of(a)(atol), __type_of(a)(rtol) * max(abs(a), abs(b))
+                )
             )
         )
 
diff --git a/mojo/stdlib/src/testing/testing.mojo b/mojo/stdlib/src/testing/testing.mojo
index 355d54653b..088d5531c3 100644
--- a/mojo/stdlib/src/testing/testing.mojo
+++ b/mojo/stdlib/src/testing/testing.mojo
@@ -462,8 +462,8 @@ fn assert_almost_equal[
     rhs: SIMD[type, size],
     msg: String = "",
     *,
-    atol: Scalar[type] = 1e-08,
-    rtol: Scalar[type] = 1e-05,
+    atol: Float64 = 1e-08,
+    rtol: Float64 = 1e-05,
     equal_nan: Bool = False,
     location: Optional[_SourceLocation] = None,
 ) raises:
diff --git a/mojo/stdlib/test/builtin/test_bfloat16.mojo b/mojo/stdlib/test/builtin/test_bfloat16.mojo
index 88a0bdaca2..29a7b8e93f 100644
--- a/mojo/stdlib/test/builtin/test_bfloat16.mojo
+++ b/mojo/stdlib/test/builtin/test_bfloat16.mojo
@@ -55,6 +55,8 @@ def test_bf_primitives():
 
 
 def check_float64_values():
+    # These ugly things are required because SIMD rejects construction of
+    # BFloat16 values on ARM systems.
     assert_equal(
         Float64(
             __mlir_op.`pop.cast`[_type = __mlir_type[`!pop.scalar<f64>`]](
diff --git a/mojo/stdlib/test/testing/test_assertion.mojo b/mojo/stdlib/test/testing/test_assertion.mojo
index 68b3e17774..5ed7b5e323 100644
--- a/mojo/stdlib/test/testing/test_assertion.mojo
+++ b/mojo/stdlib/test/testing/test_assertion.mojo
@@ -127,8 +127,8 @@ def test_assert_almost_equal():
         lhs: SIMD[type, size],
         rhs: SIMD[type, size],
         *,
-        atol: Scalar[type] = 0,
-        rtol: Scalar[type] = 0,
+        atol: Float64 = 0,
+        rtol: Float64 = 0,
         equal_nan: Bool = False,
     ):
         var msg = "`test_assert_almost_equal` should have succeeded"
@@ -164,8 +164,8 @@ def test_assert_almost_equal():
         lhs: SIMD[type, size],
         rhs: SIMD[type, size],
         *,
-        atol: Scalar[type] = 0,
-        rtol: Scalar[type] = 0,
+        atol: Float64 = 0,
+        rtol: Float64 = 0,
         equal_nan: Bool = False,
     ):
         var msg = "`test_assert_almost_equal` should have failed"
diff --git a/src/max/entrypoints/pipelines.py b/src/max/entrypoints/pipelines.py
index 8bec82b1ee..bdd102aa9f 100644
--- a/src/max/entrypoints/pipelines.py
+++ b/src/max/entrypoints/pipelines.py
@@ -17,10 +17,6 @@
 import os
 import signal
 
-# We need this unused, unsorted import to avoid an issue on
-# graviton related to finding an incorrect GLIBCXX version.
-from max.entrypoints.llm import LLM  # noqa: F401 # isort: skip
-
 import click
 from max.entrypoints.cli import (
     generate_text_for_pipeline,
diff --git a/src/max/magic.lock b/src/max/magic.lock
index c60e9a40ba..86aa96526e 100644
--- a/src/max/magic.lock
+++ b/src/max/magic.lock
@@ -59,7 +59,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/email-validator-2.2.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email_validator-2.2.0-hd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/fastapi-0.115.10-pyh29332c3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fastapi-0.115.11-pyh29332c3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fastapi-cli-0.0.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.17.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda
@@ -150,14 +150,14 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.10.0-h5888daf_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-3.0.2-py312h178313f_1.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-pipelines-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-pipelines-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/mkl-2024.2.2-ha957f24_16.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/mpc-1.3.1-h24ddda3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/mpfr-4.2.1-h90cbb55_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mpmath-1.3.0-pyhd8ed1ab_1.conda
@@ -204,7 +204,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pyinstrument-5.0.1-py312h66e93f0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.9-h9e4cc4f_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.0.1-pyhd8ed1ab_1.conda
@@ -325,7 +325,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/email-validator-2.2.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email_validator-2.2.0-hd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/fastapi-0.115.10-pyh29332c3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fastapi-0.115.11-pyh29332c3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fastapi-cli-0.0.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.17.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/freetype-2.12.1-hf0a5ef3_2.conda
@@ -418,13 +418,13 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/lz4-c-1.10.0-h5ad3122_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/markupsafe-3.0.2-py312h74ce7d3_1.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/linux-aarch64/max-core-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-pipelines-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-aarch64/max-core-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-pipelines-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/mpc-1.3.1-h783934e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/mpfr-4.2.1-h2305555_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mpmath-1.3.0-pyhd8ed1ab_1.conda
@@ -472,7 +472,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/pyinstrument-5.0.1-py312hb2c0f52_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.12.9-h1683364_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.0.1-pyhd8ed1ab_1.conda
@@ -582,7 +582,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/email-validator-2.2.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/email_validator-2.2.0-hd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/fastapi-0.115.10-pyh29332c3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fastapi-0.115.11-pyh29332c3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fastapi-cli-0.0.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.17.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/freetype-2.12.1-hadb7bae_2.conda
@@ -665,13 +665,13 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/lz4-c-1.10.0-h286801f_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/markupsafe-3.0.2-py312h998013c_1.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-pipelines-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-pipelines-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/mpc-1.3.1-h8f1351a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/mpfr-4.2.1-hb693164_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mpmath-1.3.0-pyhd8ed1ab_1.conda
@@ -719,7 +719,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyinstrument-5.0.1-py312hea69d52_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.12.9-hc22306f_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dotenv-1.0.1-pyhd8ed1ab_1.conda
@@ -2297,9 +2297,9 @@ packages:
   license: MIT and PSF-2.0
   size: 20486
   timestamp: 1733208916977
-- conda: https://conda.anaconda.org/conda-forge/noarch/fastapi-0.115.10-pyh29332c3_0.conda
-  sha256: 66272baa1edb67aa410c84f486a65f1202efb473a90d78c7d23f064737f51917
-  md5: c86a4cd820f3f2f6f78a62178f97f4c0
+- conda: https://conda.anaconda.org/conda-forge/noarch/fastapi-0.115.11-pyh29332c3_0.conda
+  sha256: 06b93154b2412fd55a235b44580db144334e90cabfec0e57c69155ce35f40962
+  md5: a3085f0ade4096d261ecb15208fa5148
   depends:
   - python >=3.9
   - starlette >=0.40.0,<0.47.0
@@ -2313,8 +2313,8 @@ packages:
   - uvicorn-standard >=0.12.0
   - python
   license: MIT
-  size: 78178
-  timestamp: 1740838413302
+  size: 78175
+  timestamp: 1740930998506
 - conda: https://conda.anaconda.org/conda-forge/noarch/fastapi-cli-0.0.7-pyhd8ed1ab_0.conda
   sha256: 300683731013b7221922339cd40430bb3c2ddeeb658fd7e37f5099ffe64e4db0
   md5: d960e0ea9e1c561aa928f6c4439f04c7
@@ -5501,48 +5501,48 @@ packages:
   license_family: BSD
   size: 24048
   timestamp: 1733219945697
-- conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
+- conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: aa0c1db61615cc9eeb8c3ff93563f190169d44c9842a229dc22356b3fb39c1c1
-  md5: ff398daef8f5c7807b6a423a03ff69a5
+  sha256: b1e1d327b440cc4410242695b71af4107c55371ffa45ea6afc451b926b75ad06
+  md5: bc042a54567c146308baa503ecf64b53
   depends:
-  - max-core ==25.2.0.dev2025030106 release
-  - max-python ==25.2.0.dev2025030106 release
-  - mojo-jupyter ==25.2.0.dev2025030106 release
-  - mblack ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
+  - max-python ==25.2.0.dev2025030305 release
+  - mojo-jupyter ==25.2.0.dev2025030305 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 9904
-  timestamp: 1740812805176
-- conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030106-release.conda
-  sha256: 6cd9c8b031f6a8e6a42561a3b68b5d5d893e8b57cd608111cdebf5d27fd8073a
-  md5: 8d5deae1a12f695bb1b313fa10ba4332
+  size: 9912
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030305-release.conda
+  sha256: 3636ae685e256479172339fe8c5d674a843fa2fc686b576e3223034ec24c2632
+  md5: ff81362bc96cbd58884f73487150bba4
   depends:
-  - mblack ==25.2.0.dev2025030106 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 249844103
-  timestamp: 1740812805175
-- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-core-25.2.0.dev2025030106-release.conda
-  sha256: 05eca10ca12e8bc08ee92fbacbbd0283df899af3b527af77b9d184fb512a3783
-  md5: bbca6a0604e0d5591b3167b4203e72ee
+  size: 249912659
+  timestamp: 1740979075048
+- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-core-25.2.0.dev2025030305-release.conda
+  sha256: 8992d4b65fbb37be38b79d0b013b997af8ce4d297e9bfdf5967444e911b7fc09
+  md5: 8c2cf14006dda0791b1c82f6528e9b8a
   depends:
-  - mblack ==25.2.0.dev2025030106 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 252111155
-  timestamp: 1740812763755
-- conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030106-release.conda
-  sha256: 63c02e7c8e0430951e9cd4b4505afe9e191e5b0bbf5343f4fdedc39ddeeb63d0
-  md5: 257c1c4a080f1d9117b0d2d44dda3b06
+  size: 252209414
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030305-release.conda
+  sha256: abf6e1d66d53fdeb5ee40b9981b68f412ea5b0ca4d8e6401695e6f3e40577ba3
+  md5: 74e56cd46e352f72a2706cb18b3f57f8
   depends:
-  - mblack ==25.2.0.dev2025030106 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 217288777
-  timestamp: 1740813876536
-- conda: https://conda.modular.com/max-nightly/noarch/max-pipelines-25.2.0.dev2025030106-release.conda
+  size: 217419570
+  timestamp: 1740980182916
+- conda: https://conda.modular.com/max-nightly/noarch/max-pipelines-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: 283a661c6b4d473c032231dae5cfefc21f19e22cf822ff2f4559d53b93a15436
-  md5: e5010282be645b607b3ac37e9a812bc8
+  sha256: 4c8b00201ddc9e9777c0c7cec88974889a43129cdd9773e69303b279c0ee0ac2
+  md5: ea1600f5ab930461067045524a3883fc
   depends:
-  - max-python ==25.2.0.dev2025030106 release
+  - max-python ==25.2.0.dev2025030305 release
   - aiohttp >=3.11.12
   - fastapi >=0.114.2
   - gguf >=0.14.0
@@ -5574,14 +5574,14 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 10376
-  timestamp: 1740812805176
-- conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030106-release.conda
+  size: 10384
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: fef4cdeded5a65511ad025d286cfcdeeba0dbda5a325ba05ab34e3da281256fc
-  md5: a89e5884fc3955acb191409c11c82d7f
+  sha256: 1eaa96322c64db1ea143c529a5ce3cb28bdc74abaedbb35011646fe4a8f5e746
+  md5: 5fc2738c9c7aa3b7a848825f4ab5fbd9
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - click >=8.0.0
   - numpy >=1.18,<2.0
   - sentencepiece >=0.2.0
@@ -5618,14 +5618,14 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 123614388
-  timestamp: 1740812805176
-- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030106-release.conda
+  size: 123616168
+  timestamp: 1740979075048
+- conda: https://conda.modular.com/max-nightly/linux-aarch64/max-python-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: 35ca6e41ac83be72027aa30ab8e24874b790f205b6d1dfd2cbc6e36ea8ea9537
-  md5: 1ed03583fcda964b93e193808e643111
+  sha256: e7114c9fec921c82ccc6a41313dbfabb77ea5dfdf06b3e764cc3f8219dee942d
+  md5: 7965896da871ef6f5ec6d3e63754a7de
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - click >=8.0.0
   - numpy >=1.18,<2.0
   - sentencepiece >=0.2.0
@@ -5662,14 +5662,14 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 125987433
-  timestamp: 1740812763755
-- conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030106-release.conda
+  size: 125978148
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: ce716702ae9c7f2a5d194cbb19f8ffa70cd9956fe243dbb70985fc3679277c06
-  md5: 58f0a87442d47428ba3ee68b9e839a44
+  sha256: fec8e20e96fe5dca33a7f269e401121869b15fd2ba4b5ecd8eef9a2fe22d07c1
+  md5: 1e733edfaa00254c1149ee717540fa28
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - click >=8.0.0
   - numpy >=1.18,<2.0
   - sentencepiece >=0.2.0
@@ -5706,12 +5706,12 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 112588416
-  timestamp: 1740813876537
-- conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
+  size: 112590648
+  timestamp: 1740980182917
+- conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: 46eeb957d71a44b69341001b0c4a7718b8ac0ef195bf8c716e7ead02b15baba4
-  md5: 4f031fd6f2bf81cfba322178106b315e
+  sha256: 0f45f5a5c9949198034a22dc02747a815db7614ac0b081cd6be081c08e2820f3
+  md5: 91b18174cd7cf314753c91bf1e6ba7b4
   depends:
   - python >=3.9,<3.13
   - click >=8.0.0
@@ -5722,8 +5722,8 @@ packages:
   - typing_extensions >=v4.12.2
   - python
   license: MIT
-  size: 130843
-  timestamp: 1740812805175
+  size: 130864
+  timestamp: 1740979061163
 - conda: https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda
   sha256: 78c1bbe1723449c52b7a9df1af2ee5f005209f67e40b6e1d3c7619127c43b1c7
   md5: 592132998493b3ff25fd7479396e8351
@@ -5747,18 +5747,18 @@ packages:
   license_family: Proprietary
   size: 124718448
   timestamp: 1730231808335
-- conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+- conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: 1453f8559b8ada824083fc236f73a1ad4922ac904daa15b0d574dbfc4669867a
-  md5: 6e064b52057bbd756183ef214c0c0100
+  sha256: 32f162a17a82318ec55fb9ff05158828c53cf850532b79e20fc01c4cb342acd3
+  md5: 0539b71f182f98f2ac274a3ba9420f63
   depends:
-  - max-core ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
   - python >=3.9,<3.13
   - jupyter_client >=8.6.2,<8.7
   - python
   license: LicenseRef-Modular-Proprietary
-  size: 22986
-  timestamp: 1740812805175
+  size: 22994
+  timestamp: 1740979061163
 - conda: https://conda.anaconda.org/conda-forge/linux-64/mpc-1.3.1-h24ddda3_1.conda
   sha256: 1bf794ddf2c8b3a3e14ae182577c624fa92dea975537accff4bc7e5fea085212
   md5: aa14b9a5196a6d8dd364164b7ce56acf
@@ -7041,9 +7041,9 @@ packages:
   license_family: BSD
   size: 21085
   timestamp: 1733217331982
-- conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda
-  sha256: 75245ca9d0cbd6d38bb45ec02430189a9d4c21c055c5259739d738a2298d61b3
-  md5: 799ed216dc6af62520f32aa39bc1c2bb
+- conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.5-pyhd8ed1ab_0.conda
+  sha256: 963524de7340c56615583ba7b97a6beb20d5c56a59defb59724dc2a3105169c9
+  md5: c3c9316209dec74a705a36797970c6be
   depends:
   - colorama
   - exceptiongroup >=1.0.0rc8
@@ -7055,9 +7055,8 @@ packages:
   constrains:
   - pytest-faulthandler >=2
   license: MIT
-  license_family: MIT
-  size: 259195
-  timestamp: 1733217599806
+  size: 259816
+  timestamp: 1740946648058
 - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.9-h9e4cc4f_0_cpython.conda
   sha256: 64fed5178f1e9c8ac0f572ac0ce37955f5dee7b2bcac665202bc14f1f7dd618a
   md5: 5665f0079432f8848079c811cdb537d5
diff --git a/src/max/pipelines/kv_cache/paged_cache.py b/src/max/pipelines/kv_cache/paged_cache.py
index d77fa92dc7..e90252365e 100644
--- a/src/max/pipelines/kv_cache/paged_cache.py
+++ b/src/max/pipelines/kv_cache/paged_cache.py
@@ -34,6 +34,7 @@
     _OpaqueValue,
     ops,
 )
+from max.profiler import traced
 from max.support.human_readable_formatter import to_human_readable_bytes
 
 from ._utils import build_max_lengths_tensor
@@ -148,6 +149,7 @@ def __call__(
 
 
 class PagedKVCacheManager(KVCacheManager):
+    @traced
     def __init__(
         self,
         params: KVCacheParams,
@@ -417,6 +419,7 @@ def get_num_free_blocks(self) -> int:
     def get_num_used_blocks(self) -> int:
         return self.total_num_pages - self.get_num_free_blocks()
 
+    @traced
     def can_fetch(
         self, seq_ids_and_prompts: dict[int, np.ndarray], num_steps: int = 1
     ) -> bool:
@@ -448,6 +451,7 @@ def can_fetch(
 
         return tot_new_pages_needed <= num_free_blocks
 
+    @traced
     def query_fetch_stats(
         self, seq_id: int, prompt: np.ndarray, num_steps: int = 1
     ) -> tuple[set[int], int, int]:
@@ -496,6 +500,7 @@ def query_fetch_stats(
 
         return prefix_blocks, tokens_to_encode, new_pages_needed
 
+    @traced
     def _fetch(
         self, seq_ids_and_prompts: dict[int, np.ndarray], num_steps: int = 1
     ) -> List[KVCacheInputs]:
@@ -743,6 +748,7 @@ def release(self, seq_id: int) -> None:
             self.release_block(block)
         del self.active_requests[seq_id]
 
+    @traced
     def _step(
         self,
         seq_ids_and_new_tokens: dict[int, np.ndarray],
diff --git a/src/max/pipelines/kv_cache/prefix_cache.py b/src/max/pipelines/kv_cache/prefix_cache.py
index 5c89cb9b29..27651dcd70 100644
--- a/src/max/pipelines/kv_cache/prefix_cache.py
+++ b/src/max/pipelines/kv_cache/prefix_cache.py
@@ -22,11 +22,13 @@
 from max.dtype import DType
 from max.engine import InferenceSession
 from max.graph import BufferType, DeviceRef, Graph, SymbolicDim, TensorType, ops
+from max.profiler import traced
 
 from .paged_cache_metadata import PagedCacheMetadata
 from .radix_trie import RadixTrie, TrieNode
 
 
+@traced
 def construct_cow_strided_memcpy_graph(
     block_shape: list[int | str], dtype: DType, devices: list[Device]
 ) -> Graph:
@@ -261,6 +263,7 @@ def fetch(
 
         return seq_ids_and_prefix_blocks
 
+    @traced
     def _fetch_request(
         self,
         seq_id: int,
@@ -399,6 +402,7 @@ def _fetch_cow(
         assert len(data.prompt_tokens) > 0
         assert data.cached_idx < data.inflight_idx
 
+    @traced
     def batch_execute_enqueued_cow(self):
         """Execute all of the COW memcpy operations enqueued during `fetch`.
 
@@ -469,6 +473,7 @@ def query_fetch_stats(
         assert num_cache_hit_tokens >= 0
         return set(prefix_blocks), num_cache_hit_tokens
 
+    @traced
     def step(
         self,
         seq_id: int,
diff --git a/src/max/pipelines/kv_cache/radix_trie.py b/src/max/pipelines/kv_cache/radix_trie.py
index ac1be1b26b..dbbf2d9f46 100644
--- a/src/max/pipelines/kv_cache/radix_trie.py
+++ b/src/max/pipelines/kv_cache/radix_trie.py
@@ -14,6 +14,7 @@
 from typing import Any, Dict, List, Optional, Sequence, Set, Tuple, Union
 
 import numpy as np
+from max.profiler import traced
 
 from .simple_trie import SimpleTrie
 
@@ -185,6 +186,7 @@ def _check_node_valid(self, node: TrieNode):
             assert len(node.tokens) % self.page_size == 0
             assert len(node.tokens) // self.page_size == len(node.blocks)
 
+    @traced
     def insert(
         self,
         tokens: Union[np.ndarray, List[TokenId]],
@@ -269,6 +271,7 @@ def insert_helper(
         blocks = blocks.copy()
         return insert_helper(node, tokens, blocks)
 
+    @traced
     def match_prefix(
         self,
         tokens: Union[np.ndarray, List[TokenId]],
@@ -411,6 +414,7 @@ def mark_not_in_use_by(self, node: TrieNode, seq_id: SeqId):
             assert curr.parent is not None
             curr = curr.parent
 
+    @traced
     def evict_blocks(self, desired_num_evicted: int) -> List[BlockId]:
         """Attempt to evict at most `desired_num_evicted` blocks from trie."""
         evicted_blocks: List[BlockId] = []
diff --git a/tutorials/hello-magic/local/magic.lock b/tutorials/hello-magic/local/magic.lock
index 769f7b95ff..6f95ca7fdc 100644
--- a/tutorials/hello-magic/local/magic.lock
+++ b/tutorials/hello-magic/local/magic.lock
@@ -75,14 +75,14 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/llvm-openmp-15.0.7-h0cdce71_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-3.0.2-py312h178313f_1.conda
-      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
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-      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/mkl-2022.1.0-h84fe81f_915.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/mkl-devel-2022.1.0-ha770c72_916.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/mkl-include-2022.1.0-h84fe81f_915.tar.bz2
-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/mpc-1.3.1-h24ddda3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/mpfr-4.2.1-h90cbb55_3.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mpmath-1.3.0-pyhd8ed1ab_1.conda
@@ -154,11 +154,11 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/markupsafe-3.0.2-py312h998013c_1.conda
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-      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030106-release.conda
-      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030106-release.conda
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-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030305-release.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/mpmath-1.3.0-pyhd8ed1ab_1.conda
@@ -1400,40 +1400,40 @@ packages:
   license_family: BSD
   size: 24048
   timestamp: 1733219945697
-- conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
+- conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
   noarch: python
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-  md5: ff398daef8f5c7807b6a423a03ff69a5
+  sha256: b1e1d327b440cc4410242695b71af4107c55371ffa45ea6afc451b926b75ad06
+  md5: bc042a54567c146308baa503ecf64b53
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-  - max-python ==25.2.0.dev2025030106 release
-  - mojo-jupyter ==25.2.0.dev2025030106 release
-  - mblack ==25.2.0.dev2025030106 release
+  - max-core ==25.2.0.dev2025030305 release
+  - max-python ==25.2.0.dev2025030305 release
+  - mojo-jupyter ==25.2.0.dev2025030305 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 9904
-  timestamp: 1740812805176
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-  md5: 8d5deae1a12f695bb1b313fa10ba4332
+  size: 9912
+  timestamp: 1740979061163
+- conda: https://conda.modular.com/max-nightly/linux-64/max-core-25.2.0.dev2025030305-release.conda
+  sha256: 3636ae685e256479172339fe8c5d674a843fa2fc686b576e3223034ec24c2632
+  md5: ff81362bc96cbd58884f73487150bba4
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+  - mblack ==25.2.0.dev2025030305 release
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-- conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030106-release.conda
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+  size: 249912659
+  timestamp: 1740979075048
+- conda: https://conda.modular.com/max-nightly/osx-arm64/max-core-25.2.0.dev2025030305-release.conda
+  sha256: abf6e1d66d53fdeb5ee40b9981b68f412ea5b0ca4d8e6401695e6f3e40577ba3
+  md5: 74e56cd46e352f72a2706cb18b3f57f8
   depends:
-  - mblack ==25.2.0.dev2025030106 release
+  - mblack ==25.2.0.dev2025030305 release
   license: LicenseRef-Modular-Proprietary
-  size: 217288777
-  timestamp: 1740813876536
-- conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030106-release.conda
+  size: 217419570
+  timestamp: 1740980182916
+- conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: fef4cdeded5a65511ad025d286cfcdeeba0dbda5a325ba05ab34e3da281256fc
-  md5: a89e5884fc3955acb191409c11c82d7f
+  sha256: 1eaa96322c64db1ea143c529a5ce3cb28bdc74abaedbb35011646fe4a8f5e746
+  md5: 5fc2738c9c7aa3b7a848825f4ab5fbd9
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+  - max-core ==25.2.0.dev2025030305 release
   - click >=8.0.0
   - numpy >=1.18,<2.0
   - sentencepiece >=0.2.0
@@ -1470,14 +1470,14 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 123614388
-  timestamp: 1740812805176
-- conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030106-release.conda
+  size: 123616168
+  timestamp: 1740979075048
+- conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: ce716702ae9c7f2a5d194cbb19f8ffa70cd9956fe243dbb70985fc3679277c06
-  md5: 58f0a87442d47428ba3ee68b9e839a44
+  sha256: fec8e20e96fe5dca33a7f269e401121869b15fd2ba4b5ecd8eef9a2fe22d07c1
+  md5: 1e733edfaa00254c1149ee717540fa28
   depends:
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+  - max-core ==25.2.0.dev2025030305 release
   - click >=8.0.0
   - numpy >=1.18,<2.0
   - sentencepiece >=0.2.0
@@ -1514,12 +1514,12 @@ packages:
   - uvloop >=0.21.0
   - xgrammar ==0.1.11
   license: LicenseRef-Modular-Proprietary
-  size: 112588416
-  timestamp: 1740813876537
-- conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
+  size: 112590648
+  timestamp: 1740980182917
+- conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
   noarch: python
-  sha256: 46eeb957d71a44b69341001b0c4a7718b8ac0ef195bf8c716e7ead02b15baba4
-  md5: 4f031fd6f2bf81cfba322178106b315e
+  sha256: 0f45f5a5c9949198034a22dc02747a815db7614ac0b081cd6be081c08e2820f3
+  md5: 91b18174cd7cf314753c91bf1e6ba7b4
   depends:
   - python >=3.9,<3.13
   - click >=8.0.0
@@ -1530,8 +1530,8 @@ packages:
   - typing_extensions >=v4.12.2
   - python
   license: MIT
-  size: 130843
-  timestamp: 1740812805175
+  size: 130864
+  timestamp: 1740979061163
 - conda: https://conda.anaconda.org/conda-forge/linux-64/mkl-2022.1.0-h84fe81f_915.tar.bz2
   sha256: 767318c4f2057822a7ebc238d6065ce12c6ae60df4ab892758adb79b1057ce02
   md5: b9c8f925797a93dbff45e1626b025a6b
@@ -1567,18 +1567,18 @@ packages:
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   timestamp: 1652946186347
-- conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
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   noarch: python
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-  md5: 6e064b52057bbd756183ef214c0c0100
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+  - max-core ==25.2.0.dev2025030305 release
   - python >=3.9,<3.13
   - jupyter_client >=8.6.2,<8.7
   - python
   license: LicenseRef-Modular-Proprietary
-  size: 22986
-  timestamp: 1740812805175
+  size: 22994
+  timestamp: 1740979061163
 - conda: https://conda.anaconda.org/conda-forge/linux-64/mpc-1.3.1-h24ddda3_1.conda
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diff --git a/tutorials/hello-magic/magic.lock b/tutorials/hello-magic/magic.lock
index f3699dd264..505b234f01 100644
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+++ b/tutorials/hello-magic/magic.lock
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-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
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+      - pypi: https://files.pythonhosted.org/packages/b3/5d/4d8bbb94f0dbc22732350c06965e40740f4a92ca560e90bb566f4f73af41/fastapi-0.115.11-py3-none-any.whl
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+- conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
   noarch: python
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-  md5: 6e064b52057bbd756183ef214c0c0100
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+  md5: 0539b71f182f98f2ac274a3ba9420f63
   depends:
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+  - max-core ==25.2.0.dev2025030305 release
   - python >=3.9,<3.13
   - jupyter_client >=8.6.2,<8.7
   - python
   license: LicenseRef-Modular-Proprietary
-  size: 22986
-  timestamp: 1740812805175
+  size: 22994
+  timestamp: 1740979061163
 - conda: https://conda.anaconda.org/conda-forge/linux-64/mpc-1.3.1-h24ddda3_1.conda
   sha256: 1bf794ddf2c8b3a3e14ae182577c624fa92dea975537accff4bc7e5fea085212
   md5: aa14b9a5196a6d8dd364164b7ce56acf
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   - typing-extensions>=4.6.0,!=4.7.0
   requires_python: '>=3.8'
-- pypi: https://files.pythonhosted.org/packages/11/92/76a1c94d3afee238333bc0a42b82935dd8f9cf8ce9e336ff87ee14d9e1cf/pytest-8.3.4-py3-none-any.whl
+- pypi: https://files.pythonhosted.org/packages/30/3d/64ad57c803f1fa1e963a7946b6e0fea4a70df53c1a7fed304586539c2bac/pytest-8.3.5-py3-none-any.whl
   name: pytest
-  version: 8.3.4
-  sha256: 50e16d954148559c9a74109af1eaf0c945ba2d8f30f0a3d3335edde19788b6f6
+  version: 8.3.5
+  sha256: c69214aa47deac29fad6c2a4f590b9c4a9fdb16a403176fe154b79c0b4d4d820
   requires_dist:
   - colorama ; sys_platform == 'win32'
   - exceptiongroup>=1.0.0rc8 ; python_full_version < '3.11'
diff --git a/tutorials/max-graph-api/magic.lock b/tutorials/max-graph-api/magic.lock
index 8145bba66d..a680327d6e 100644
--- a/tutorials/max-graph-api/magic.lock
+++ b/tutorials/max-graph-api/magic.lock
@@ -54,7 +54,7 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-10.3.0-h76408a6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-10.4.0-h76408a6_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libva-2.22.0-h8a09558_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libva-2.22.0-h4f16b4b_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libvorbis-1.3.7-h9c3ff4c_0.tar.bz2
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-      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030305-release.conda
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+      - conda: https://conda.modular.com/max-nightly/linux-64/max-python-25.2.0.dev2025030305-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mblack-25.2.0.dev2025030305-release.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/mkl-2022.1.0-h84fe81f_915.tar.bz2
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-      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
+      - conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030305-release.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/sdl3-3.2.4-h3083f51_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/sdl3-3.2.6-h3083f51_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-10.3.0-h76408a6_0.conda
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-  md5: 0a06f278e5d9242057673b1358a75e8f
+- conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-10.4.0-h76408a6_0.conda
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+  md5: 81f137b4153cf111ff8e3188b6fb8e73
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   - cairo >=1.18.2,<2.0a0
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   arch: x86_64
   platform: linux
   license: MIT
-  license_family: MIT
-  size: 1671633
-  timestamp: 1740154398990
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-  md5: 139262125a3eac8ff6eef898598745a3
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+  md5: 2c65566e79dc11318ce689c656fb551c
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-  - libdrm >=2.4.123,<2.5.0a0
+  - libdrm >=2.4.124,<2.5.0a0
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-  - libxcb >=1.16,<2.0.0a0
+  - libxcb >=1.17.0,<2.0a0
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   - wayland-protocols
-  - xorg-libx11 >=1.8.9,<2.0a0
-  - xorg-libxext >=1.3.4,<2.0a0
-  - xorg-libxfixes
+  - xorg-libx11 >=1.8.11,<2.0a0
+  - xorg-libxext >=1.3.6,<2.0a0
+  - xorg-libxfixes >=6.0.1,<7.0a0
   arch: x86_64
   platform: linux
   license: MIT
   license_family: MIT
-  size: 217708
-  timestamp: 1726828458441
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-- conda: https://conda.modular.com/max-nightly/noarch/max-25.2.0.dev2025030106-release.conda
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-  - mblack ==25.2.0.dev2025030106 release
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+  - max-python ==25.2.0.dev2025030305 release
+  - mojo-jupyter ==25.2.0.dev2025030305 release
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-- conda: https://conda.modular.com/max-nightly/osx-arm64/max-python-25.2.0.dev2025030106-release.conda
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-- conda: https://conda.modular.com/max-nightly/noarch/mojo-jupyter-25.2.0.dev2025030106-release.conda
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+  timestamp: 1740979061163
 - conda: https://conda.anaconda.org/conda-forge/linux-64/mpc-1.3.1-h24ddda3_1.conda
   sha256: 1bf794ddf2c8b3a3e14ae182577c624fa92dea975537accff4bc7e5fea085212
   md5: aa14b9a5196a6d8dd364164b7ce56acf
@@ -3748,9 +3747,9 @@ packages:
   license: Zlib
   size: 513266
   timestamp: 1740516135153
-- conda: https://conda.anaconda.org/conda-forge/linux-64/sdl3-3.2.4-h3083f51_0.conda
-  sha256: d19f33b8c73cf461698b3f6d81aa354aed68d50f8d64f72c0cccc507d183803c
-  md5: c0d92f268209e0a0fd27954a5667c11d
+- conda: https://conda.anaconda.org/conda-forge/linux-64/sdl3-3.2.6-h3083f51_0.conda
+  sha256: b20b18a797805580321a2ee12e08e5c0fc7d7dab2a6c39aedb93b69cc39a910f
+  md5: 8e037be1e0686afe1a7ae7d2a1c8b310
   depends:
   - __glibc >=2.17,<3.0.a0
   - dbus >=1.13.6,<2.0a0
@@ -3775,8 +3774,8 @@ packages:
   arch: x86_64
   platform: linux
   license: Zlib
-  size: 1728090
-  timestamp: 1739801388543
+  size: 1753857
+  timestamp: 1740899625272
 - conda: https://conda.anaconda.org/conda-forge/linux-64/sentencepiece-0.2.0-hc8f76dd_10.conda
   sha256: a1bde55ceb9dc5bd7879283d0f594a6ce65c07fda3de76230c65a4a5df47858a
   md5: 480e915dfc6c592615ef6f217e615aa6