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§ Private Profile · Palo Alto, CA, USA
AI infrastructure provider offering API access to hosted open-source AI models for developers, focused on low-latency inference at scale.
Deep Infra is an artificial intelligence infrastructure provider of undisclosed location that hosts top open-source AI models and delivers them to developers through a low-latency API for production use. The organization primarily serves early-stage startups integrating machine learning into their products, offering cost-effective inference services and fine-tuning capabilities for large language models. Since its initial seed stage, the platform has scaled its processing volume by over 8,000 times as demand for accessible enterprise AI deployment has increased. The company has raised $27 million in total funding, including an $18 million Series A round in April 2025 led by venture capital firm Felicis and angel investor Georges Harik. Before pivoting to large language models after the release of ChatGPT, Deep Infra was originally founded in September 2022 by Nikola Borisov, Yessenzhar Kanapin, and Georgios Papoutsis.
Deep Infra has raised $26.0M across 2 funding rounds.
Deep Infra has raised $26.0M in total across 2 funding rounds.
Deep Infra has raised $26.0M across 2 funding rounds. Most recently, it raised $18.0M Series A in April 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Apr 1, 2025 | $18M Series A | — | Accel, Ai4all, Axiom Partners, Coatue, Conviction Partners, Felicis Ventures, Flex Capital, Lightspeed India Partners, Madrona Venture Group, Kazuma Ieiri, Shailendra Singh, Preston Werner Ventures, Radical Ventures, SV Angel, Todd And Rahul's Angel Fund, Y Combinator, Akshay Kothari, Amjad Masad, Augusto Marietti, BEN Tossell, Christopher Golda, Georges Harik, Guillermo Rauch, James Hong, Kevin Weil, Oliver Cameron, Scott Belsky | Announced |
| Nov 1, 2023 | $8M Seed | Felicis Ventures | Accel, Coatue, Flex Capital, Lightspeed India Partners, Shailendra Singh, Preston Werner Ventures, Todd And Rahul's Angel Fund, Y Combinator, Augusto Marietti, BEN Tossell, Christopher Golda, Kevin Weil, Scott Belsky | Announced |
High-Level OverviewDeep Infra is a Palo Alto-based technology company founded in 2022 that provides scalable, cost-effective AI inference infrastructure tailored for deep learning models. Its platform offers businesses and developers a simple API to deploy machine learning models in production with low latency, automatic scaling, and cost control features. Deep Infra serves enterprises and developers needing reliable, high-performance AI model hosting and inference, solving the problem of expensive, complex AI infrastructure management by owning and optimizing its own GPU hardware. This approach enables faster, more affordable AI inference, supporting a wide range of models including text-to-image, text-to-video, and custom fine-tuned models, fueling growth through significant funding and adoption in the AI ecosystem[1][2][3][4].
Origin StoryFounded in September 2022 by a team with deep expertise in large-scale backend infrastructure—previously supporting over 200 million monthly active users on the messaging app imo.im—Deep Infra emerged from the insight that owning hardware is more cost-effective and performant than renting from cloud providers. This experience shaped their mission to democratize AI inference by building an AI inference cloud that makes popular open-source models accessible via a simple, affordable API. Early traction included securing $18 million in Series A funding led by Felicis Ventures, signaling strong industry confidence in their vertically integrated infrastructure approach and technical prowess[2][3].
Core Differentiators- Vertical Integration: Deep Infra owns and operates its GPU hardware, unlike many competitors who rent cloud resources, enabling superior cost control and performance.- Expertise in Large-Scale Systems: Founders bring experience building infrastructure for hundreds of millions of users, allowing optimized, reliable AI inference at scale.- Support for Custom and Fine-Tuned Models: Offers flexibility with LoRA support and custom model hosting, reducing upfront costs and enabling tailored AI solutions.- Developer-Friendly API: Simple, high-quality API access to over 100 models with features like auto-scaling, pay-per-use pricing, and detailed performance metrics.- Security and Compliance: SOC 2 and ISO 27001 certifications with a zero data retention policy ensure privacy and trust for enterprise customers[1][3][4].
Role in the Broader Tech LandscapeDeep Infra rides the massive growth trend in AI inference workloads, which industry leaders like NVIDIA predict will increase by a billion times. The timing is critical as AI adoption accelerates across industries, creating demand for scalable, cost-efficient inference infrastructure. By focusing on owning hardware and optimizing inference, Deep Infra addresses market forces favoring performance and cost over cloud rental models. Their platform lowers barriers for startups and enterprises to deploy AI, influencing the ecosystem by making advanced AI capabilities more accessible and affordable, thus accelerating AI integration into products and services[2][3].
Quick Take & Future OutlookLooking ahead, Deep Infra is well-positioned to capitalize on the explosive growth in AI inference demand by expanding its infrastructure, broadening model support, and deepening integrations with enterprise AI workflows. Trends such as increased adoption of custom fine-tuned models and multi-region deployments will shape their product roadmap. Their influence is likely to grow as they continue to lower costs and improve latency, potentially becoming a foundational AI infrastructure provider akin to a CDN for AI workloads. This aligns with their mission to democratize AI access and empower businesses to leverage AI insights efficiently and securely[2][4].
Deep Infra has raised $26.0M in total across 2 funding rounds.
Deep Infra's investors include Accel, AI4ALL, Axiom Partners, Coatue, Conviction Partners, Felicis Ventures, Flex Capital, Lightspeed India Partners, Madrona Ventures, Kazuma Ieiri, Shailendra Singh, Preston-Werner Ventures.