cuda-13

Here are 5 public repositories matching this topic...

Production-grade SGLang inference on NVIDIA DGX Spark / GB10 (sm_121) — sm_121a-native sgl-kernel, model-agnostic launch recipes, wedge handling.

inference blackwell llm sglang gb10 dgx-spark cuda-13

Pre-built PyTorch wheels and build scripts for NVIDIA DGX Spark (GB10, sm_121, Blackwell, CUDA 13.0, ARM64)

machine-learning deep-learning gpu cuda inference pytorch nvidia arm64 aarch64 fine-tuning blackwell llm gb10 dgx-spark grace-blackwell sm121 cuda-13 pre-built-wheels

Windows NVIDIA-only Triton 3.7.0 build pipeline for RTX 5090 / Blackwell sm_120a, with FP8 tl.dot validation and peak benchmark results.

windows benchmark gpu cuda pytorch nvidia triton windows-build tensor-cores blackwell fp8 triton-lang rtx-5090 triton-windows cuda-13 sm120a fp8-matmul

Hunyuan3D-2 fork — image→textured 3D→sliced STL + part segmentation. RTX 50-series (Blackwell/sm_120), CUDA 13.0, Python 3.12, PyTorch 2.11+cu130.

SurfelWarp modernized for CUDA 13.2 / VS2022 / C++17 — builds & runs on 2026 toolchains.

computer-vision kinect slam 3d-reconstruction visual-slam non-rigid dynamicfusion cuda-13

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