OPEN MODELS / Language models (LLM)
Run qwen2-math:72b on a cloud GPU
qwen2-math:72b 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: Qwen2 Math is a series of specialized math language models built upon the Qwen2 LLMs, which significantly outperforms the mathematical capabilities of open-source models and even closed-source models (e.g., GPT4o).
GPUs it fits on today
About 49 GB of GPU memory: the model download (4-bit by default) plus working memory.
| GPU | Memory | Per hour | 10 hours | |
|---|---|---|---|---|
| CMP 170HX | 64 GB | $0.62 | $6.20 | Rent |
| A100 SXM4 | 80 GB | $0.67 | $6.70 | Rent |
| GB10 | 119 GB | $1.06 | $10.60 | Rent |
| RTX PRO 6000 WS | 96 GB | $1.79 | $17.90 | Rent |
| RTX PRO 6000 Max-Q | 96 GB | $1.92 | $19.20 | Rent |
Live starting prices from our catalog. You pay per second while the machine runs.
How to run qwen2-math:72b
- 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 qwen2-math:72bWhy 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 qwen2-math:72b need?
- By our estimate about 49 GB for inference (72B parameters). Higher resolution, longer context or bigger batches need more.
- How much does it cost to run qwen2-math:72b?
- From $0.62 per hour on CMP 170HX, billed per second. Ten hours cost about $6.20.
- 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