Fireworks
PaidInfrastructure for training and serving generative AI models
Tool Information
What is Fireworks?
Fireworks AI is a platform for training, deploying, and serving open-source or custom generative AI models through scalable inference deployments.
Core Features
Model inference
Serve open models and customer-trained models through an inference engine optimized for throughput and latency.
Model training
Use guided, configuration-led, and custom training workflows, including reinforcement learning training logic.
Serverless inference
Run serverless inference with pay-per-token Priority and Fast options.
Dedicated deployments
Use on-demand dedicated deployments with multi-region support and support for post-trained models.
Reserved capacity
Access guaranteed capacity and higher quotas through reserved capacity.
Model library
Access a library of open-source language, vision, image, and audio models.
Use Cases
- #1
Generative AI application development
Build applications using hosted open models through a single line of code.
- #2
Custom model development
Train and deploy models using customer data and custom training logic.
- #3
High-volume inference
Run production inference workloads with serverless, dedicated, or reserved deployment options.
- #4
Model evaluation
Run repeatable, high-volume model evaluations through an Azure endpoint, as described in an official customer testimonial.
Alternatives
Frequently Asked Questions
What is Fireworks AI?
What types of models are available on Fireworks AI?
Does Fireworks AI support custom model training?
How is Fireworks AI priced?
Does Fireworks AI offer dedicated deployments?
Is Fireworks AI compatible with OpenAI and Anthropic APIs?
Fireworks Contact & Social Media
- CompanyFireworks AI
- Support
- Website:
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- LinkedIn
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