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pandafood/nanode-cuda-kernels

Nanode CUDA kernels — prebuilt wheels Prebuilt CUDA extension wheels used by Nanode, a node-based AI canvas. Hosted here because most of these builds exist nowhere else — PyPI carries source-only distributions (or nothing at all) for these packages, and the upstream binary channels don't cover these ABI combinations. Windows — Microsoft TRELLIS.2 kernels (cp311) The custom CUDA extensions behind TRELLIS.2 image-to-3D generation, compiled for Windows. To our… See the full description on the dataset page: https://huggingface.co/datasets/pandafood/nanode-cuda-kernels.

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Nanode CUDA kernels — prebuilt wheels

Prebuilt CUDA extension wheels used by Nanode, a node-based AI canvas. Hosted here because most of these builds exist nowhere else — PyPI carries source-only distributions (or nothing at all) for these packages, and the upstream binary channels don't cover these ABI combinations.

Windows — Microsoft TRELLIS.2 kernels (cp311)

The custom CUDA extensions behind TRELLIS.2 image-to-3D generation, compiled for Windows. To our knowledge these are the only public cp311 win_amd64 builds.

Wheel	ABI	Built against
`cumesh-1.0-cp311-cp311-win_amd64.whl`	cp311 / win_amd64	torch 2.7.0, CUDA 12.8
`flex_gemm-0.0.1-cp311-cp311-win_amd64.whl`	cp311 / win_amd64	torch 2.7.0, CUDA 12.8
`nvdiffrast-0.4.0-cp311-cp311-win_amd64.whl`	cp311 / win_amd64	torch 2.7.0, CUDA 12.8
`nvdiffrec_render-0.0.0-cp311-cp311-win_amd64.whl`	cp311 / win_amd64	torch 2.7.0, CUDA 12.8
`o_voxel-0.0.1-cp311-cp311-win_amd64.whl`	cp311 / win_amd64	torch 2.7.0, CUDA 12.8

GPU floor: RTX 30-series (sm_86). The binaries embed sm_86 cubins plus sm_86 PTX — native on RTX 30, RTX 40/50 run via the driver's PTX JIT (one-time compile pause on first use). GTX 10 / RTX 20 cards (sm_75 and below) cannot run these builds.

Linux — supporting kernels (cp310)

Built on WSL2 (Ubuntu) for Nanode's Linux-side pipelines.

Wheel	Notes
`flash_attn-2.7.4.post1-cp310-cp310-linux_x86_64.whl`	Local build; official releases cover torch ≤ 2.6 only
`natten-0.21.0-cp310-cp310-linux_x86_64.whl`	PyPI is sdist-only; upstream wheel host currently unreachable
`gsplat-1.5.3-cp310-cp310-linux_x86_64.whl`	Alternative to the nerfstudio wheel index
`transformer_engine_torch-1.12.0-cp310-cp310-linux_x86_64.whl`	No public wheels exist (NVIDIA ships NGC containers)
`fused_ssim-0.0.0-cp310-cp310-linux_x86_64.whl`	Source-only upstream; no other wheel exists

Verification

SHA256SUMS.txt covers every wheel. Verify with:

sha256sum -c SHA256SUMS.txt

Nanode's provisioner pins these hashes in its pipeline manifests and refuses mismatched downloads.

Licenses

These are unmodified compiled builds of third-party source. Each upstream project's license applies to its wheel: TRELLIS.2 kernels (cumesh, flex_gemm, o_voxel, nvdiffrec_render) — MIT (Microsoft); nvdiffrast — NVIDIA Source Code License; flash_attn — BSD-3 (Dao AI Lab); natten — MIT (SHI Labs); gsplat — Apache-2.0 (nerfstudio); transformer_engine — Apache-2.0 (NVIDIA); fused_ssim — MIT. See each project's repository for the authoritative text.