Qwen3-Max-Thinking state-of-the-art reasoning model at your fingertips!

Did you just finetune your favorite model and are wondering where to run it? Well, we have you covered. Simple API and predictable pricing.
Use a private repo, if you wish, we don't mind. Create a hf access token just for the repo for better security.
You can use the Web UI to create a new deployment.
We also offer HTTP API:
curl -X POST https://api.deepinfra.com/deploy/llm -d '{
"model_name": "test-model",
"gpu": "A100-80GB",
"num_gpus": 2,
"max_batch_size": 64,
"hf": {
"repo": "meta-llama/Llama-2-7b-chat-hf"
},
"settings": {
"min_instances": 1,
"max_instances": 1,
}
}' -H 'Content-Type: application/json' \
-H "Authorization: Bearer YOUR_API_KEY"
curl -X POST \
-d '{"input": "Hello"}' \
-H 'Content-Type: application/json' \
-H "Authorization: Bearer YOUR_API_KEY" \
'https://api.deepinfra.com/v1/inference/github-username/di-model-name'
For in depth tutorial check Custom LLM Docs.
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