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Run Llama-3.2-90B-Vision-Instruct on Lium

Meta · Vision and text · 88.6B parameters · 177.2 GB BF16 weights · released 2024-09-19
It needs about 213 GB of VRAM. The cheapest setup that runs it is 8x L40S (384 GB), from $4.24 per hour, billed per second.

Other GPUs that run it

8x RTX 5090256 GBfrom $5.60 / hourRent
8x RTX 6000 Ada Generation384 GBfrom $6.40 / hourRent

How to run it

Rent the pod above, open a terminal over SSH or Jupyter and serve meta-llama/Llama-3.2-90B-Vision-Instruct:
vllm serve meta-llama/Llama-3.2-90B-Vision-Instruct --tensor-parallel-size 8
Claude Code and Codex can do all of it through the Lium CLI.

Frequently asked questions

How much VRAM does Llama-3.2-90B-Vision-Instruct need?

About 177.2 GB for the released BF16 weights, so plan on 213 GB with room for activations and KV cache at a short context. Longer contexts and bigger batches need more.

What GPU should I rent to run Llama-3.2-90B-Vision-Instruct?

8x L40S (384 GB). On Lium that setup costs from $4.24 per hour, billed per second with no minimum.
All open models
For AI agents (CLI install, agent skill, headless signup): llms-full.txt