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f6ec70f31fa24ebef0026ea5d622fce4314e22e2c56979219598fdd6e4df3b28 *cumesh-1.0-cp311-cp311-win_amd64.whl
ffe17686fa1a0f288de9eae7c32af209d32a27b037ef28614f042b377af5b15a *flash_attn-2.7.4.post1-cp310-cp310-linux_x86_64.whl
3a1b8ef109735cc8f19729a007abb48b9a91815f350bc10cc513f5c7e27608f2 *flex_gemm-0.0.1-cp311-cp311-win_amd64.whl
a7614d91e762f167c5388eb330285b8bda5cb61a66e72952696956a01bdfbe72 *fused_ssim-0.0.0-cp310-cp310-linux_x86_64.whl
67a5fc64c3f9314b1d1970becbfef16c0b95af7bf398a629385f8756092c996e *gsplat-1.5.3-cp310-cp310-linux_x86_64.whl
8b278fd7eed2fb7c1be7316f2a5658cd4137b449349eda583d016d3eb6f29367 *natten-0.21.0-cp310-cp310-linux_x86_64.whl
6d273cc912143a306389ec7b5e0fa44efbe45ea7577f86d8f13ce6b209c56c3e *nvdiffrast-0.4.0-cp311-cp311-win_amd64.whl
c0e4bf4ea6622ddff0eea0ca8b9be75a48318db62a7184891bcb0f1da65d1f8c *nvdiffrec_render-0.0.0-cp311-cp311-win_amd64.whl
da17f251f05ea31c1d0ad2fa3e4b7e025463cb9a12a66fb8ddb3b28634ad1636 *o_voxel-0.0.1-cp311-cp311-win_amd64.whl
0ddc14247e2cb156a5cb856110dfe8ecdbf17e98edf884cea7c50de3083dc8f0 *transformer_engine_torch-1.12.0-cp310-cp310-linux_x86_64.whl

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.

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