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FROM THE CREATORS OF PYTORCH

From Inference to Intelligence

Surpass closed models when you train and run your models on Fireworks’ frontier inference platform.

Building with Fireworks

Start with leading open models. Train on your private data. Own what you build.

Base Model

Globally distributed virtual cloud infrastructure running on the latest hardware

Base Model

Enterprise-grade security and reliability across mission-critical workloads

Base Model

Fast inference engine delivering industry-leading throughput and latency.

Base Model

Optimized deployments across quality, speed,
and cost

Customer Love

What our customers are saying

Sourcegraph

"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 Testimonial
Beyang Liu | CTO at Sourcegraph
Notion logo dark

"By partnering with Fireworks to fine-tune models, we reduced latency from about 2 seconds to 350 milliseconds, significantly improving performance and enabling us to launch AI features at scale. That improvement is a game changer for delivering reliable, enterprise-scale AI"

Sarah Sachs
Sarah Sachs | AI Lead at Notion
Cursor logo dark
why did Cursor rollout Composer 2 with @FireworksAI_HQ?

"...because it's way more performant than the open source engines and is what we use in production. our rl inference scales elastically and globally because of it. when we have low prod traffic we scale up RL, when we have high prod traffic, we scale down RL."

federico cassano
Federico Cassano | AI Researcher at Cursor
Quora

"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
Spencer Chan | Product Lead at Quora
Sourcegraph

"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 Testimonial
Beyang Liu | CTO at Sourcegraph
Notion logo dark

"By partnering with Fireworks to fine-tune models, we reduced latency from about 2 seconds to 350 milliseconds, significantly improving performance and enabling us to launch AI features at scale. That improvement is a game changer for delivering reliable, enterprise-scale AI"

Sarah Sachs
Sarah Sachs | AI Lead at Notion
Cursor logo dark
why did Cursor rollout Composer 2 with @FireworksAI_HQ?

"...because it's way more performant than the open source engines and is what we use in production. our rl inference scales elastically and globally because of it. when we have low prod traffic we scale up RL, when we have high prod traffic, we scale down RL."

federico cassano
Federico Cassano | AI Researcher at Cursor
Quora

"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
Spencer Chan | Product Lead at Quora
Case Study

Sentient Achieved 50% Higher GPU Throughput with Sub-2s Latency

Sentient waitlisted 1.8M users in 24 hours, delivering sub-2s latency across 15-agent workflows with 50% higher throughput per GPU and zero infra sprawl, all powered by Fireworks

Sentient Serverless logo
50%
Higher throughput per GPU

Start building today

Instantly run popular and specialized models.