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feat: add Blackwell GPU (sm_120) CUDA support (#401)

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Set TORCH_CUDA_ARCH_LIST in the CUDA build step to include 12.0+PTX
for forward compatibility with Blackwell GPUs (RTX 5070 Ti, 5080, etc).

Pre-built PyTorch cu128 wheels only ship native kernels for sm_80/86/89/90.
Without this, Blackwell GPU users get "no kernel image is available for
execution on the device" at runtime.

Fixes #386
Related: #395, #396, #399, #400

Co-authored-by: Matt Van Horn <[email protected]>
This commit is contained in:
Matt Van Horn
2026-04-16 01:51:18 -07:00
committed by GitHub
co-authored by Matt Van Horn
parent 13ba5f1aa6
commit c9d8142a78
1 changed files with 6 additions and 0 deletions
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.github/workflows/release.yml
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@@ -203,6 +203,12 @@ jobs:
- name: Build CUDA server binary (onedir)
shell: bash
working-directory: backend
env:
# Include Blackwell (sm_120) via PTX forward compatibility.
# Pre-built PyTorch cu128 wheels ship native kernels for sm_80/86/89/90
# but not sm_120. Setting this env var causes torch.utils.cpp_extension
# (and any JIT-compiled kernels) to target Blackwell GPUs as well.
TORCH_CUDA_ARCH_LIST: "8.0;8.6;8.9;9.0;12.0+PTX"
run: python build_binary.py --cuda
- name: Package into server core + CUDA libs archives