What DeepInfra does
DeepInfra is an AI inference infrastructure company that provides hosted model inference through OpenAI-compatible APIs and a DeepInfra-native API. It focuses on production-grade inference for high-throughput workloads—especially multi-call “agentic” and always-on token generation—by running models on DeepInfra-owned GPU infrastructure deployed across multiple U.S. data centers.
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DeepInfra positions itself as vertically integrated across hardware and software, with an emphasis on cost/performance predictability, low latency, and enterprise controls such as zero data retention and security certifications. From a developer standpoint, DeepInfra offers: - OpenAI-compatible endpoints (for chat/completions, embeddings, and images) so existing OpenAI SDKs can be reused with a different base URL. - A native endpoint for inference that supports model types beyond the OpenAI-compatible surface area. - Hosted access to a large catalog of open(-weight) models across text, vision/OCR, embeddings/rerankers, speech, and image/video generation. From an enterprise/product standpoint, DeepInfra also offers private model deployments on dedicated GPUs with autoscaling, intended for customers that need data isolation and/or customization (e.g., fine-tuned weights). As of 2026-08-31, DeepInfra is in an expansion phase following a $107M Series B announced on 2026-05-04. That round is described by the company as co-led by 500 Global and Georges Harik, with participation from multiple strategic and financial investors, and is intended to scale inference capacity and tooling for production workloads.