corehu
Rent a GPU

OPEN MODELS / Vision language models

Run nemotron3:33b on a cloud GPU

nemotron3:33b is a Vision language models 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 Nano Omni is a multimodal large language model that unifies video, audio, image, and text understanding to support enterprise-grade Q&A, summarization, transcription, and document intelligence workflows.

Rent Q RTX 8000 from $0.48/hr
Parameters
≈ 33B
GPU memory needed
≈ 33 GB
License
—
Source
Ollama

GPUs it fits on today

About 33 GB of GPU memory: the model download (4-bit by default) plus working memory.

GPUMemoryPer hour10 hours
Q RTX 800045 GB$0.48$4.80Rent
CMP 170HX64 GB$0.62$6.20Rent
A100 SXM480 GB$0.72$7.20Rent
RTX A600048 GB$0.72$7.20Rent
A100 PCIE40 GB$0.74$7.40Rent

Live starting prices from our catalog. You pay per second while the machine runs.

How to run nemotron3:33b

  1. 01

    Rent a GPU

    Pick one of the GPUs above. Billing is per second; stop the machine and you stop paying.

  2. 02

    Open a terminal or Jupyter

    Connect over SSH or open Jupyter in your browser. PyTorch and CUDA are ready to use.

  3. 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 nemotron3:33b

Why run it yourself?

Run document and image understanding on your own GPU: no per-image fee, and files stay on your machine.

Questions

How much GPU memory does nemotron3:33b need?
By our estimate about 33 GB for inference (33B parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run nemotron3:33b?
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

Similar Vision language models models