What kind of models does Fireworks AI support?

Fireworks AI primarily supports popular open-source large language models, including but not limited to Llama, Mistral, Mixtral, and Code Llama, with new models added regularly.

How does Fireworks AI achieve such fast inference speeds?

Our platform leverages state-of-the-art optimization techniques such as continuous batching, custom CUDA kernels, and highly optimized inference engines to minimize latency and maximize throughput.

Is Fireworks AI suitable for production-grade applications?

Yes, Fireworks AI is designed for production use cases, offering a scalable, reliable, and high-performance inference solution that can handle millions of requests per day.

Back to Fastren

Fireworks AI

Freemium

llminference

Fireworks AI provides a high-performance inference platform specifically engineered for deploying open-source large language models with unparalleled speed and cost-efficiency.

Try it out

Fireworks AI offers a serverless platform that optimizes the deployment and serving of open-source LLMs through advanced inference techniques like continuous batching and custom kernel optimizations. This allows developers and enterprises to achieve significantly lower latency and higher throughput compared to traditional methods, while also reducing the operational costs of running complex AI models. The platform supports a wide array of popular open-source models and provides a simple API for integration into existing applications, focusing on developer experience and scalability.

Pros

Exceptional inference speed and low latency for open-source LLMs, often outperforming competitors.
Cost-effective solution due to highly optimized infrastructure and efficient resource utilization.
Broad support for a growing list of popular open-source language models, offering flexibility for users.

Cons

Primarily focused on inference; users needing comprehensive training or fine-tuning platforms might require additional tools.
While supporting popular models, the range might not cover every niche or proprietary model an enterprise might use.
Reliance on third-party cloud infrastructure could be a concern for organizations with strict on-premise requirements.

Key features

High-performance LLM inference API
Support for a wide range of open-source models (Llama, Mistral, Mixtral, etc.)
Continuous batching and custom kernel optimizations
Low latency and high throughput serving
Scalable serverless infrastructure

Integrations

Python SDKREST APIOpenAI API compatibilityLangChainLlamaIndex

Target audience

AI/ML engineers, data scientists, software developers, and enterprises looking to deploy and scale open-source large language models with high performance and cost efficiency.

Ratings & Reviews

0.0

Based on 0 reviews

Key Metrics

Active Users

50K+

Founded

2022

Headquarters

San Mateo, California, USA

Pricing Tiers

Pay-as-you-go

Access to all supported models, billed per token or per second of compute used, ideal for variable workloads.

Custom (based on usage)

Enterprise

Dedicated resources, custom model deployments, priority support, and volume discounts for large-scale deployments.

Custom

Frequently Asked Questions

Top Alternatives to Fireworks AI

Groq

Popular alternative with overlapping features and a strong user base.

LangChain

Well-regarded competitor with similar workflows and integrations.

LlamaIndex

Trusted option for teams comparing capabilities and pricing.

Ready to get started?

Join thousands of users and see how Fireworks AI can transform your workflow today.

Visit Fireworks AI