AI Infrastructure Private

Fireworks AI

The fastest way to run generative AI

Founded 2022 San Francisco, California 51-100 employees Series B Pay-per-token inference API fees
Funding Status
Series B
Private Company

About Fireworks AI

Fireworks AI is a generative AI inference platform founded by former Meta AI engineers who built PyTorch and scaled model serving infrastructure. The company specializes in delivering extremely fast, cost-efficient inference for LLMs, image models, and custom fine-tuned models through a simple API.

Fireworks' proprietary inference engine, FireAttention, optimizes model serving with techniques like speculative decoding, continuous batching, and quantization to deliver speeds that consistently rank among the fastest in the industry. The platform supports major open-source models and enables customers to deploy custom models with minimal configuration.

The company has attracted significant venture funding and built a customer base spanning startups and enterprises who need production-grade model serving without managing GPU infrastructure. Fireworks differentiates on raw speed and developer experience, providing OpenAI-compatible APIs that make it easy to switch from proprietary to open-source models.

Products & Services

Fireworks Inference API

Ultra-fast model serving for LLMs and image generation models

FireAttention Engine

Proprietary inference optimization for maximum throughput and low latency

Custom Model Deployment

One-click deployment of fine-tuned models on optimized infrastructure

Leadership

L
Lin Qiao
CEO & Co-Founder
D
Daya Khudia
CTO & Co-Founder

Notable Achievements

  • Founded by core PyTorch and Meta AI infrastructure team
  • Record-setting LLM inference speeds
  • Raised $52M+ in venture funding
  • OpenAI-compatible API for seamless migration

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