rtx-50-series

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dconsorte / pytorch-tensorflow-gpu

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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LianHe-BI / Blackwell-optimized-llama.cpp-Docker-image

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Blackwell-optimized llama.cpp Docker image – works on all NVIDIA GPUs, but tuned for RTX 50 series. Built from scratch with CUDA 12.8, sm_120, NVFP4-ready. 250+ tok/s on 4B F16. Includes llama-chat script.

docker cpp docker-image cuda python3 pytorch nvidia quantization performance-optimization ready-to-use llm llamacpp rtx-50-series nvfp4 sm-120

Updated Mar 28, 2026

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