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OPEN MODELS / Vision language models

Run medgemma:27b on a cloud GPU

medgemma:27b 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: MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension.

Parameters
≈ 27B
GPU memory needed
≈ 22 GB
License
—
Source
Ollama

GPUs it fits on today

About 22 GB of GPU memory: the model download (4-bit by default) plus working memory.

GPUMemoryPer hour10 hours
RTX 2080 Ti22 GB$0.23$2.30Rent
Tesla P4024 GB$0.27$2.70Rent
Titan RTX24 GB$0.29$2.90Rent
RTX 309024 GB$0.42$4.20Rent
A1024 GB$0.48$4.80Rent

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

How to run medgemma:27b

  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 medgemma:27b

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 medgemma:27b need?
By our estimate about 22 GB for inference (27B parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run medgemma:27b?
From $0.23 per hour on RTX 2080 Ti, billed per second. Ten hours cost about $2.30.
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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