
The fastest and most efficient inference platform for generative AI
Fireworks AI is a high-performance inference platform that runs open-source and custom models with industry-leading throughput and latency. Built by ex-Meta PyTorch engineers, Fireworks uses its proprietary FireAttention CUDA kernel and FP16/FP8 quantization to deliver up to 4x faster inference than other providers on the same hardware. The platform serves over 200 popular models out of the box including Llama 3.3, DeepSeek, Mixtral, and Stable Diffusion, plus supports private fine-tuning and dedicated GPU deployments for production workloads.
Custom CUDA kernel delivering up to 4x faster LLM inference than vLLM via FP16/FP8 quantization and continuous batching
Production endpoints for Llama 3.3, DeepSeek V3, Mixtral, Qwen, Stable Diffusion, and FLUX with OpenAI-compatible APIs
Train and serve custom adapters on your data with no per-deployment cost — multiple LoRAs share base model GPUs
Dedicated H100, H200, and B200 instances with per-second billing and reserved capacity options
Native structured output, tool use, and grammar-constrained generation for agentic workflows
Compliance-ready hosting with optional zero-data-retention mode for regulated industries