canirunthismodel

Can I run Mixtral-8x7B-Instruct-v0.1 on a NVIDIA H200?

Yes.Runs

You can run this comfortably. On a NVIDIA H200 (141 GB VRAM), Mixtral-8x7B-Instruct-v0.1 needs about 113 GB (FP16) and should generate at roughly ~34 tok/s. Recommended: Run on your GPU with FP16.

mistralai/Mixtral-8x7B-Instruct-v0.1

Why

How to run Mixtral-8x7B-Instruct-v0.1 on a H200

Serve with vLLM (OpenAI-compatible API)
# Fast production serving on http://localhost:8000/v1
vllm serve mistralai/Mixtral-8x7B-Instruct-v0.1
Python (Transformers)
from transformers import pipeline
pipe = pipeline("text-generation", model="mistralai/Mixtral-8x7B-Instruct-v0.1", device_map="auto")
print(pipe("Hello", max_new_tokens=50))
Try the full analyzer

Mixtral-8x7B-Instruct-v0.1 on other GPUs

Other models on a H200