A production-ready Docker setup for ComfyUI that unlocks the full potential of NVIDIA Blackwell GPUs (RTX 50 series) through 4-bit quantization with NVFP4.
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Updated
Jan 28, 2026 - Dockerfile
A production-ready Docker setup for ComfyUI that unlocks the full potential of NVIDIA Blackwell GPUs (RTX 50 series) through 4-bit quantization with NVFP4.
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.
Sample application generated using Opencode and Ollama
HSPMN: Hybrid Sparse-Predictive Matter Network - LLM architecture optimized for Blackwell GPUs bridging O(N) and O(N^2) routing via ALF-LB
🚀 Accelerate image generation with ComfyUI's Docker for NVIDIA Blackwell GPUs, optimizing speed and memory usage through NVFP4 support.
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