Fireworks AI
Fastest cloud platform for open-source AI model inference, fine-tuning, and GPU deployments.
Updated April 2026
Overview
- Website
- fireworks.ai
- Segment
- Serverless Inference
Product overview
Fireworks AI provides serverless inference, on-demand GPU deployments (A100 $2.90/hr, H100/H200 $6.00/hr), fine-tuning, and training for open-source LLMs, multimodal, and image models via API, with no infrastructure management.. Used by AI natives like Cursor, enterprises like Notion and Sourcegraph for code assistants, customer support, agents, and RAG at scale with sub-second latency. Distinct for industry-leading speed (up to 4x lower latency, 50% higher GPU throughput), optimized kernels, day-zero model support, and global auto-scaling across clouds..
Revenue model
Serverless: $0.10-$4.40+/1M tokens (input/output vary by model size); batch 50% off; fine-tuning $0.50-$40/1M tokens or GPU-hr; on-demand GPUs: A100 $2.90/hr, H100 $6/hr, H200 $6/hr, B200 $9/hr, B300 $11/hr (per second); $1 free credits; enterprise custom.
Moat
- Proprietary Technology
- Talent
- Scale Advantages
- Cost Advantages
Fireworks AI's key competitive moat is its proprietary high-performance inference engine, delivering industry-leading speed (4x throughput, halved latency), cost efficiency, and seamless fine-tuning on latest hardware, backed by elite talent from Meta and PyTorch.