Fireworks AI
Fireworks AI provides high-performance inference and training infrastructure to help enterprises build and scale generative AI applications.
At a Glance
AI Tools by Fireworks AI
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Fireworks AI
Cloud AI Model Inference API
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Latest News
Fireworks AI Acquires Hathora to Accelerate Global Compute Orchestration
Scaling and Optimizing Frontier Model Training
Fireworks AI Raises $250M Series C to Lead the AI Inference Market
Fireworks AI Raises $52M Series B to Help Enterprises Own Their AI
Products & Services
End-to-end platform for training and deploying frontier models.
GPT-4o level function calling for open-source models.
Optimized serving engine for OSS models.
On-demand H100 GPU provisioning.
Market Position
High-performance, cost-effective infrastructure for open-source and custom models, challenging proprietary closed-source AI providers.
Leadership
Founders
Lin Qiao
Former VP of Engineering at Meta and leader of PyTorch; expert in AI infrastructure.
Dmytro Dzhulgakov
Former Software Engineer at Meta and core contributor to PyTorch.
Chenyu Zhao
Former Software Engineer at Google (Vertex AI) and Meta.
James Reed
Former Software Engineer at Meta and core PyTorch developer.
Dmytro Ivchenko
Former Software Engineer at Meta/PyTorch.
Benny Yufei Chen
Former Software Engineer at Meta.
Pawel Garbacki
Former Software Engineer at Google and Meta.
Executive Team
Lin Qiao
CEO & Co-founder
Former Meta VP, PyTorch lead.
Dmytro Dzhulgakov
CTO & Co-founder
Former Meta, PyTorch core contributor.
Board of Directors
Founding Story
Founded by the former PyTorch team at Meta to solve the performance and cost barriers of running AI models in production.
Business Model
Revenue Model
Usage-based consumption (per token, per GPU second).
Pricing Tiers
Billed per 1M tokens, starting at $0.10.
Dedicated GPUs billed per second.
Billed per 1M training tokens.
Target Markets
- Enterprise Software
- Technology
- Developers
- AI Agents
- Chatbots
- Content Generation
- Search & RAG
- Cresta
- Upwork
- Notion
- RADPAIR