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OPEN MODELS / Language models (LLM)

Run solar-pro:22b on a cloud GPU

solar-pro:22b 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: Solar Pro Preview: an advanced large language model (LLM) with 22 billion parameters designed to fit into a single GPU

Parameters
≈ 22B
GPU memory needed
≈ 17 GB
License
—
Source
Ollama

GPUs it fits on today

About 17 GB of GPU memory: the model download (4-bit by default) plus working memory.

GPUMemoryPer hour10 hours
RTX 2080 Ti22 GB$0.20$2.00Rent
RTX 4000Ada20 GB$0.35$3.50Rent
RTX 309024 GB$0.38$3.80Rent
Titan RTX24 GB$0.40$4.00Rent
RTX A500024 GB$0.42$4.20Rent

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

How to run solar-pro:22b

  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 solar-pro:22b

Why 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 solar-pro:22b need?
By our estimate about 17 GB for inference (22B parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run solar-pro:22b?
From $0.20 per hour on RTX 2080 Ti, billed per second. Ten hours cost about $2.00.
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

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