What is DeepInfra?
DeepInfra, founded in September 2022 and based in Palo Alto, California, provides serverless GPU inference infrastructure: developer-facing APIs to run open-source AI models (large language models, text-to-speech, text-to-image, embeddings and more) from providers such as Meta, Mistral and DeepSeek on a pay-as-you-go basis, without provisioning GPU hardware directly. The founding team previously built backend infrastructure for the imo messenger app. In 2026 the company raised a $107 million Series B co-led by 500 Global and Georges Harik, with participation from NVIDIA.
Read the full overview
Sources checked 27 September 2026: official website, about page, documentation.
Key capabilities
- Model catalog: 100+ open-source models spanning text generation, text-to-speech, text-to-image and embeddings.
- Pay-as-you-go pricing: usage-based billing per model with no long-term contract required.
- No infrastructure to manage: GPU provisioning and scaling handled by DeepInfra.
Compare current per-model pricing (which varies significantly by model) against expected token volumes, and confirm data-handling terms for any request content sent to hosted models.
Shortlist DeepInfra when the goal is running established open-source models via API at usage-based pricing, without operating GPU infrastructure. Compare per-model, per-token pricing against other inference providers for the specific models needed, since rates vary significantly by model.
Serverless inference pricing and available models change frequently as new open-source models ship; re-check current rates and the model catalog against requirements rather than relying on figures from a point-in-time review.
Technical details
- Access
- See vendor
- Source model
- Other license
- Founded
- 2022
- Headquarters
- Palo Alto, USA
- Pricing model
- Paid
- API
- Available
- Website
- deepinfra.com ↗
Official resources
What to verify for your environment
Start from the users, systems and operating responsibilities the tool needs to support.
- Confirm current features, licensing and support terms with the publisher.
- Validate deployment, data location, access control, backup and recovery requirements.
- Test integrations, export paths and a representative operational workflow before committing.
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