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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
Shell

dreamrec / ComfyUI-Pixal3D

Pixal3D ComfyUI integration for Windows (RTX 30/40/50) — single image to textured PBR mesh in 3-5 min

python windows cuda python3 pytorch nvidia mesh-generation cuda-toolkit 3d-generation pbr-materials image-to-3d comfyui comfyui-nodes rtx-5090 rtx-50-series comfyui-custom-nodes trellis2 natten siggraph-2026 pixal3d

Updated May 14, 2026
Python

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

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

vel5id / 3DPrint-Full-Pipeline_Blackwell

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.

pytorch 3d-printing 3d-generation blackwell model-generation python-3-12 hunyuan3d rtx-50-series model-partitioning cuda-13

Updated Jun 8, 2026
Python

Xassemblianist / XasmAI

Sıfırdan yazılmış, bağımlılıksız C++20 + CUDA GPT eğitim motoru. Tek exe, RTX 50-serisi uyumlu.

machine-learning deep-learning neural-network cpp cuda transformer gpt no-dependencies from-scratch cpp20 llm rtx-50-series

Updated May 4, 2026
C++

snowgoosenosewheel909 / Blackwell-optimized-llama.cpp-Docker-image

Run Blackwell-optimized llama.cpp inference in a ready-to-use NVIDIA Docker image with CUDA 12.8, sm_120, and NVFP4 support

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

Updated Jun 16, 2026

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