- Monthly visits
- 622.4K
- Pricing
- Paid
- Serverless Inference, On Demand Deployments, Training (Serverless Training API)
- Added
- Mar 10 2024
About Fireworks
Fireworks provides a platform to run, ensemble, and train open models, combining research expertise with enterprise-scale capabilities. It targets teams and companies aiming to own their AI economics and intelligence, built around open models rather than rented closed solutions. The platform emphasizes governance, data sovereignty, and a unified workflow across inference, routing, and training.
Fireworks supports deployment across its cloud or customer environments and offers regional data residency controls. It presents a cohesive environment where researchers and engineers collaborate to tailor models to business needs, with mechanisms to manage data, models, and benchmarks within a single account.
The product is presented as a platform for running open models, ensembling them intelligently, and training customized models. It highlights global reach (regions and customers), a lab component, and alignment with frontier researchers to accelerate time to market while maintaining control over AI economics and data.
Use cases
- Diversify model options to reduce costs and avoid vendor lock-in
Key features
- Run, ensemble, and train open models on one platform
- Model ensembling for cost and performance optimization
- Serverless and on-demand inference options
- Data residency and sovereignty controls
- Training and lab integration for frontier models
Pros and cons
Pros
Cons
Pricing
- Pay per token with pre-paid credits
- Auto reload and spend limits
- Serverless inference across models
- Pay per GPU second
- Higher rate limits
- Faster speeds at scale
- Tokens-based pricing for training
- No provisioning or idle cost
- Checkpoint storage included during private preview
Reviews
Frequently asked questions
What is a specialized intelligence platform?
Can I run this in my own cloud?
Do you store my prompts or train on my data?
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