
Deep Infra offers low-latency, cost-effective inference infrastructure for deep learning models, enabling easy deployment of state-of-the-art ML models into production. They provide a platform to run top AI models through a simple API or deploy custom models, with features like flexible hourly billing, serverless GPUs, and auto-scaling for efficient and hassle-free ML infrastructure management. Their pricing is based on usage, with options for per-token or per-inference-execution time billing, and dedicated GPU rentals.

Deep Infra offers low-latency, cost-effective inference infrastructure for deep learning models, enabling easy deployment of state-of-the-art ML models into production. They provide a platform to run top AI models through a simple API or deploy custom models, with features like flexible hourly billing, serverless GPUs, and auto-scaling for efficient and hassle-free ML infrastructure management. Their pricing is based on usage, with options for per-token or per-inference-execution time billing, and dedicated GPU rentals.
What they do: Serverless, low-latency ML model inference and hosting via APIs
HQ: Palo Alto, California, United States
Founded / launch: Launched Sep 2022
Employee count (snapshot): 9
Latest disclosed funding: Series A (Apr 22, 2025)
Machine-learning model inference infrastructure and hosted model APIs
2022
Artificial intelligence / ML infrastructure
“Backed by multiple well-known early-stage investors including Felicis, Georges Harik, A.Capital (Aydin Senkut), Guillermo Rauch, Brian Pokorny, 500 Global, and James Hong”