Fireworks AI

Fireworks AI is an AI training and inference platform that allows developers to run, host, and fine-tune open source models via API for specific application tasks.

Fireworks AI provides infrastructure for training and serving open models. The platform includes an inference engine optimized for throughput and latency, allowing users to serve base models or their own fine-tuned versions. It offers serverless endpoints compatible with OpenAI and Anthropic APIs, alongside on-demand and reserved deployment options. Developers can fine-tune models using supervised or preference-based training methods, including support for multi-LoRA. The service supports models like Llama, Mistral, and various specialized open models, enabling teams to build agents and applications with custom intelligence. It handles hardware scheduling and production deployment, allowing users to focus on model logic rather than backend cluster management.

Fireworks AI at a glance

Best for: Software engineer
Runs on: API
Pricing: Serverless inference is billed per token; managed training is priced per 1M tokens; on-demand deployments are billed per GPU second.
Released: September 2023
Category: AI coding tool
Website: fireworks.ai

Key features

Serverless inference endpoints
Dedicated GPU deployments
Supervised and preference fine-tuning
Multi-LoRA model support
API compatible with OpenAI and Anthropic
Global model scaling for RL workloads
Checkpoint deployment to production

Use it for

Fine-tuning models for enterprise data
Running high-throughput RL workloads
Building AI coding assistants
Hosting open source models like Llama and Mistral
Replacing closed-model API endpoints

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