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Run Nemotron-3.5-Parse on Lium

NVIDIA · Vision and text · 0.6B parameters · 2.5 GB FP32 weights · released 2026-09-03
It needs about 3 GB of VRAM. The cheapest setup that runs it is RTX A4500 (20 GB), from $0.16 per hour, billed per second.

Other GPUs that run it

RTX 5060 Ti16 GBfrom $0.17 / hourRent
Tesla V10016 GBfrom $0.21 / hourRent

How to run it

Rent the pod above, open a terminal over SSH or Jupyter and serve nvidia/Nemotron-3.5-Parse:
vllm serve nvidia/Nemotron-3.5-Parse
Claude Code and Codex can do all of it through the Lium CLI.

Frequently asked questions

How much VRAM does Nemotron-3.5-Parse need?

About 2.5 GB for the released FP32 weights, so plan on 3 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 Nemotron-3.5-Parse?

RTX A4500 (20 GB). On Lium that setup costs from $0.16 per hour, billed per second with no minimum.
All open models
For AI agents (CLI install, agent skill, headless signup): llms-full.txt