Fireworks AI
AI infrastructure for training, serving, and running open models.
What is Fireworks AI?
Fireworks AI is an infrastructure platform for teams building applications with open and specialized AI models. It provides model training, inference, and a library of open models for production use.
The training tools range from guided runs to custom training logic and reinforcement-learning workflows. Each checkpoint can be deployed to production, supporting teams that want to adapt models to their own data and workloads.
Fireworks also offers serverless, on-demand, and reserved inference options. Its serverless service supports pay-per-token usage and compatibility with OpenAI and Anthropic APIs.
The platform suits developers and organizations that need to deploy models without managing the underlying serving stack. It can serve current open models or a customer’s trained versions, with tools for different capacity and performance needs.
Fireworks AI Features
Model training workflows
Fireworks supports guided, configuration-led, and custom training approaches. Teams can review a plan and cost, provide their own training logic, and deploy checkpoints to production.
Production model inference
The inference service can serve open models and customer-trained versions. It provides serverless, on-demand, and reserved capacity options for differing production requirements.
Open model library
Fireworks offers access to popular open-source models through its model library. These models are optimized for cost, speed, and quality and can be run with a single line of code.
Pricing
Paid
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