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LLMPaid
DEEPINFRA
Serverless inference for open-source AI models
Proprietary
ABOUT
Running open-source LLMs in production requires significant GPU infrastructure, DevOps effort, and capacity planning — making it hard for individual developers and small teams to use models like Llama, Qwen, or DeepSeek without large cloud budgets. DeepInfra solves this by providing a serverless inference platform where you call open-source models via an OpenAI-compatible API and pay only for the tokens you use. There are no cold starts, no GPU provisioning, and no minimum commitments — making the best open-source models accessible to every developer with the same API interface as proprietary providers.
INTEGRATION GUIDE
1. Access leading open-source LLMs via OpenAI-compatible APIs without managing any GPU infrastructure
2. Run image generation models like Stable Diffusion and FLUX serverlessly with per-generation billing
3. Switch between open-source and proprietary models without changing API code using compatible endpoints
4. Prototype and deploy AI features with no cold starts, no GPU provisioning, and no minimum spend
5. Scale AI inference from zero to production with automatic capacity management and no DevOps overhead
TAGS
llm-inferenceserverlessopen-source-modelsapigpugenerative-ai