Deepinfra provides hosted inference and deployment infrastructure for running large machine learning and deep learning models via scalable APIs and managed cloud resources.
Deepinfra is a cloud platform for running and scaling state-of-the-art AI models through simple, production-ready APIs. It provides hosted inference for leading open-source models in areas such as large language models (LLMs), image generation, embeddings, and reranking, with an emphasis on cost efficiency and low latency. The platform is designed to let teams integrate advanced AI capabilities without managing GPU infrastructure or complex model deployments.
Key features include ready-to-use endpoints for popular models (e.g., LLaMA, Mistral, Stable Diffusion, CLIP, and various embedding models), automatic scaling, and global infrastructure optimized for inference workloads. Deepinfra supports streaming responses, batch inference, and configurable parameters, enabling developers to fine-tune performance and cost. A transparent pricing model based on actual usage, combined with GPU-optimized serving, helps reduce operational expenses compared to running models in-house. The platform also offers observability tools, such as request logging and performance metrics, to support monitoring and troubleshooting in production environments.
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