blackwell

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Here are 3 public repositories matching this topic...

eelbaz / dgx-spark-vllm-setup

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One-command vLLM installation for NVIDIA DGX Spark with Blackwell GB10 GPUs (sm_121 architecture)

machine-learning ai deep-learning gpu cuda pytorch nvidia arm64 blackwell llm vllm llm-inference gb10 dgx-spark

Updated Oct 28, 2025
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dconsorte / pytorch-tensorflow-gpu

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RTX 5090 & RTX 5060 Docker container with PyTorch + TensorFlow. First fully-tested Blackwell GPU support for ML/AI. CUDA 12.8, Python 3.11, Ubuntu 24.04. Works with RTX 50-series (5090/5080/5070/5060) and RTX 40-series.

docker machine-learning deep-learning tensorflow cuda pytorch gpu-computing blackwell rtx-5090 rtx-5060 blackwell-gpu nvidia-blackwell cuda-12-8 rtx-50-series rtx-5080

Updated Jul 8, 2025
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Justus0405 / Nvidiainstall

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📦 A fully automated method for installing Nvidia drivers on Arch Linux

Updated Dec 8, 2025
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blackwell

Here are 3 public repositories matching this topic...

eelbaz / dgx-spark-vllm-setup

dconsorte / pytorch-tensorflow-gpu

Justus0405 / Nvidiainstall

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