Go from hype to high-value AIGo from generic to specialized AIGo from single model to compound AIGo from prototype to production AI

The fastest and most efficient inference engine to build production-ready, compound AI systems.

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Fireworks AI

Why Fireworks AI

Bridge the gap between prototype and production to unlock real value from generative AI.

Designed for speed

9x faster RAGFireworks model vs Groq
6x faster image genFireworks SDXL vs other providers on average
1000 tokens/secwith Fireworks speculative decoding

Optimized for value

40x lower cost for chatLlama3 on Fireworks vs GPT4
15x higher throughputFireAttention vs vLLM
4x lower $/tokenMixtral 8x7b on Fireworks on-demand vs vLLM

Engineered for scale

140B+Tokens generated per day
1M+Images generated per day
99.99%uptime for 100+ models

Platform

Fastest platform to build and deploy generative AI

Start with the fastest model APIs, boost performance with cost-efficient customization, and evolve to compound AI systems to build powerful applications.

Blazing fast inference for 100+ models

Instantly run popular and specialized models, including Llama3, Mixtral, and Stable Diffusion, optimized for peak latency, throughput, and context length. FireAttention, our custom CUDA kernel, serves models four times faster than vLLM without compromising quality.

Disaggregated serving
Semantic caching
Speculative decoding

Meta Llama 3.1
Mixtral MoE 8x22b
Stable Diffusion 3
FireFunction V2
Yi-Large
FireLlava
OpenAI Whisper
Google Gemma 2
Nomic Embed

Fine-tune with Firectl

firectl create dataset my-dataset path/to/dataset.jsonl

firectl create fine-tuning-job --settings-file path/to/settings.yaml

firectl deploy my-model
firectl create dataset my-dataset path/to/dataset.jsonl

firectl create fine-tuning-job --settings-file path/to/settings.yaml

firectl deploy my-model

Fine-tune and deploy in minutes

Fine-tune with our LoRA-based service, twice as cost-efficient as other providers. Instantly deploy and switch between up to 100 fine-tuned models to experiment without extra costs. Serve models at blazing-fast speeds of up to 300 tokens per second on our serverless inference platform.

Supervised fine-tuning
Self-tune
Cross-model batching

Building blocks for compound AI systems

Handle tasks with multiple models, modalities, and external APIs and data instead of relying on a single model. Use FireFunction, a SOTA function calling model, to compose compound AI systems for RAG, search, and domain-expert copilots for automation, code, math, medicine, and more.

Open-weight model
Orchestration and execution
Schema-based constrained generation

FireFunction
Fireworks Inference
Text
Audio
Image
Embedding
Multimodal
External Tools
Database
Internet
APIs
Knowledge
Graph

Infrastructure

Production-grade infrastructure

Build on secure, reliable infrastructure with the latest hardware.

Built for developers

Start in seconds and pay-per-token with our serverless deployment
Scale with no commitments on dedicated, on-demand GPUs
Post-paid pricing with free initial credits
Run on the latest GPUs for blazing speeds
Metrics and team collaboration tools

Enhanced for enterprises

Dedicated deployments fully optimized to your use case
Post-paid & bulk use pricing
SOC2 Type II & HIPAA compliant
Unlimited rate limits
Secure VPC & VPN connectivity
BYOC for high QoS

Testimonials

Success with Fireworks AI

"We've had a really great experience working with Fireworks to host open source models, including SDXL, Llama, and Mistral. After migrating one of our models, we noticed a 3x speedup in response time, which made our app feel much more responsive and boosted our engagement metrics."
Spencer Chan Product Lead - Poe by Quora
"Fireworks is the best platform out there to serve open source LLMs. We are glad to be partnering up to serve our domain foundation model series Ocean and thanks to its leading infrastructure we are able to serve thousands of LoRA adapters at scale in the most cost effective way."
Tim Shi CTO - Cresta
"Fireworks has been a fantastic partner in building AI dev tools at Sourcegraph. Their fast, reliable model inference lets us focus on fine-tuning, AI-powered code search, and deep code context, making Cody the best AI coding assistant. They are responsive and ship at an amazing pace."
Beyang Liu CTO - SourceGraph

Who we are

Built by Experts from Meta's PyTorch Team

We handle trillions of inferences daily, ensuring transparency, full model ownership, and complete data privacy—we don't store model inputs or outputs.

Serving AI startups, digital-native companies, and Fortune 500 enterprises, we empower disruptors to innovate with new products, experiences, and improved productivity.

We can't wait to see what you disrupt.

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