OPEN MODELS / Language models (LLM)
Run nemotron-3.5-lightning:30b on a cloud GPU
nemotron-3.5-lightning:30b is a Language models (LLM) model by Ollama. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.
From the project: NVIDIA Nemotron 3.5 Lightning is an open 30B mixture-of-experts (MoE) model with 3B active parameters built for always-on agents.
GPUs it fits on today
About 31 GB of GPU memory: the model download (4-bit by default) plus working memory.
| GPU | Memory | Per hour | 10 hours | |
|---|---|---|---|---|
| Q RTX 8000 | 45 GB | $0.48 | $4.80 | Rent |
| A100 SXM4 | 80 GB | $0.67 | $6.70 | Rent |
| RTX 5000Ada | 32 GB | $0.69 | $6.90 | Rent |
| A100 PCIE | 40 GB | $0.74 | $7.40 | Rent |
| CMP 170HX | 64 GB | $0.75 | $7.50 | Rent |
Live starting prices from our catalog. You pay per second while the machine runs.
How to run nemotron-3.5-lightning:30b
- 01
Rent a GPU
Pick one of the GPUs above. Billing is per second; stop the machine and you stop paying.
- 02
Open a terminal or Jupyter
Connect over SSH or open Jupyter in your browser. PyTorch and CUDA are ready to use.
- 03
Install Ollama and run the model
Run the commands below. Ollama downloads the model and serves an OpenAI-compatible API on port 11434.
curl -fsSL https://ollama.com/install.sh | sh
ollama run nemotron-3.5-lightning:30bWhy run it yourself?
Your own LLM server has no per-token bill and no rate limit, and your data stays private. Pick a GPU by memory and serve the model with vLLM.
Questions
- How much GPU memory does nemotron-3.5-lightning:30b need?
- By our estimate about 31 GB for inference (30B parameters). Higher resolution, longer context or bigger batches need more.
- How much does it cost to run nemotron-3.5-lightning:30b?
- From $0.48 per hour on Q RTX 8000, billed per second. Ten hours cost about $4.80.
- Do I need a subscription?
- No. You pay only for the time your machine runs, from your USD balance. Stop it whenever you are done.
Try it on your own GPU in minutes
Pick a GPU, open Jupyter or SSH and run any open model. You pay per second and can stop anytime; no subscription, no setup fee.
- Per-second billing in USD
- PyTorch and CUDA ready in minutes
- Rent from ChatGPT or Claude too