Deep Infra
Deep Infra builds reliable, high-performance, and privacy-focused AI infrastructure to enable developers to deploy modern AI models at production scale.
At a Glance
- AI Startups
- Software Developers
- Enterprise Data Science Teams
AI Tools by Deep Infra
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DeepInfra
ML Model Inference API Platform
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Products & Services
Scalable APIs for Text Generation, Embeddings, Automatic Speech Recognition, Text-to-Speech, Text-to-Video, and Image Generation models.
Dedicated GPU clusters for custom LLM deployments with dedicated SXM-connected GPUs (A100, H100, H200, B200, B300).
On-demand GPU instances (A100, H100, etc.) billed per GPU-hour.
Service to help developers quickly start and scale AI applications.
Market Position
Positions itself as a cost-effective and faster alternative to major cloud providers for hosting open-source AI models, with a focus on ease of use and privacy.
Leadership
Founders
Nikola Borisov
CEO & Co-founder. Previously Director of Engineering at imo.im and Backend Software Engineer at HalloApp. SDE Intern at Microsoft and DreamBox Learning.
Yessenzhar Kanapin
Co-founder. Previously Software Engineer and Intern at imo.im.
Georgios Papoutsis
Co-founder and Engineer. Previously Director of Engineering at PageBites (imo.im), Senior Software Engineer at Avnet Logistics, and Systems Engineer at Siemens.
Executive Team
Nikola Borisov
CEO & Co-founder
Former Director of Engineering at imo.im.
Yessenzhar Kanapin
Co-founder
Former Software Engineer at imo.im.
Board of Directors
Founding Story
Founded by former imo.im engineers who recognized a massive gap between the investment in AI model training and the availability of high-performance, cost-effective infrastructure for inference. They aimed to provide a low-latency, scalable cloud for open-source models.
Business Model
Revenue Model
Usage-based (pay-per-token or per-character) for model APIs and per-hour for GPU instance rentals.
Pricing Tiers
Pay-as-you-go token/usage based.
Monthly spend threshold for higher usage limits.
Advanced usage limits and priority.
Enterprise-scale usage limits.
High-volume enterprise usage.
Target Markets
- AI Startups
- Software Developers
- Enterprise Data Science Teams
- Chatbots
- Content generation
- Audio transcription
- Image generation
- Enterprise AI applications
- Various AI application developers using open-source models like Llama and DeepSeek.