Fireworks AI
The fastest and most efficient inference platform for generative AI
About Fireworks 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.
Pros & Cons
Pros
- Industry-leading inference speed via FireAttention
- Generous free tier and OpenAI-compatible drop-in API
- Strong support for fine-tuning and structured output
Cons
- Closed-source inference engine — not portable
- Smaller image/video model catalog than Replicate or fal
Key Features
FireAttention Inference Engine
Custom CUDA kernel delivering up to 4x faster LLM inference than vLLM via FP16/FP8 quantization and continuous batching
200+ Pre-Hosted Models
Production endpoints for Llama 3.3, DeepSeek V3, Mixtral, Qwen, Stable Diffusion, and FLUX with OpenAI-compatible APIs
LoRA Fine-Tuning
Train and serve custom adapters on your data with no per-deployment cost — multiple LoRAs share base model GPUs
On-Demand Deployments
Dedicated H100, H200, and B200 instances with per-second billing and reserved capacity options
Function Calling & JSON Mode
Native structured output, tool use, and grammar-constrained generation for agentic workflows
HIPAA & SOC 2
Compliance-ready hosting with optional zero-data-retention mode for regulated industries
Pricing
- 200+ open models
- OpenAI-compatible API
- No cold starts
- 1M free tokens to start
- Dedicated H100/H200/B200
- Custom model deployment
- Per-second billing
- Reserved capacity discounts
- HIPAA & zero data retention
- Private deployments
- Dedicated support