How to Deploy 70B LLMs on a Single GPU Using NVFP4 Precision

 



VRAM—not raw compute—is what actually kills most self-hosted LLM projects. Running a 70B parameter model in standard FP16 requires expensive multi-GPU clusters.

In our latest technical guide on GPUYard, we walk through deploying Llama 3 using NVIDIA Blackwell's native NVFP4 precision with TensorRT-LLM on single workstation cards like the RTX 5090 and RTX PRO 6000.

What you'll learn in the full guide:

  • Why you don't need a enterprise B200 cluster

  • Fine-grained E4M3 scaling vs. traditional INT4 quantization

  • Complete 6-step command line walkthrough (Docker, ModelOpt, TRT-LLM engine build)

👉 Read the Full Step-by-Step Deployment Guide on GPUYard

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