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fireworks.ai

★4.6
💬16428
💲Freemium

Fireworks AI is a high-performance platform for deploying and using generative AI models. It supports fast inference, model fine-tuning, and production-ready infrastructure for developers and enterprises. With support for a wide range of open-source models and advanced capabilities like RAG and function calling, Fireworks AI enables efficient building and scaling of AI-powered applications.

💻
Platform
web
AI copilotsAPIsCUDA kernelDeploymentFine-tuningFunction callingGPUs

What is fireworks.ai?

Fireworks AI is a platform designed to provide the fastest inference for generative AI models. It allows users to utilize state-of-the-art, open-source LLMs and image models at high speeds. Users can fine-tune and deploy their own models at no additional cost. The platform offers a range of tools and infrastructure to build and deploy generative AI applications, including model APIs, customization options, and compound AI systems.

Core Technologies

  • Generative AI
  • Large Language Models (LLMs)
  • Image Models
  • Fine-tuning
  • Deployment
  • APIs
  • Function calling
  • RAG (Retrieval-Augmented Generation)

Key Capabilities

  • Blazing fast inference for 100+ models
  • Fine-tuning and deployment in minutes
  • Building blocks for compound AI systems
  • Production-grade infrastructure

Use Cases

  • Building production-ready, compound AI systems
  • Creating domain-expert copilots for automation, code, math, medicine, and more
  • Serving open source LLMs and LoRA adapters at scale
  • AI-powered code search and deep code context for AI coding assistants

Core Benefits

  • Fast inference speeds (9x faster RAG, 6x faster image gen)
  • Cost-efficient customization (40x lower cost for chat)
  • Engineered for scale (1T+ tokens generated per day)
  • Support for a wide range of models (Llama3, Mixtral, Stable Diffusion)
  • Production-grade infrastructure with high uptime

Key Features

  • Blazing fast inference for 100+ models
  • Fine-tuning and deployment in minutes
  • Building blocks for compound AI systems
  • Production-grade infrastructure

How to Use

  1. 1
    Run popular models via APIs
  2. 2
    Customize models for better performance
  3. 3
    Build compound AI systems using FireFunction for tasks like RAG, search, and domain-expert copilots

Pricing Plans

Developer

Powerful speed and reliability to start your project

Enterprise

Personalized configurations for serving at scale

Frequently Asked Questions

Q.What types of models does Fireworks AI support?

A.Fireworks AI supports a wide range of popular and specialized models, including Llama3, Mixtral, Stable Diffusion, and more. It also supports fine-tuned models and LoRA adapters.

Q.How fast is the inference on Fireworks AI?

A.Fireworks AI offers blazing fast inference speeds, including 9x faster RAG, 6x faster image generation, and up to 1000 tokens/sec with speculative decoding.

Q.How does Fireworks AI ensure data privacy?

A.Fireworks AI ensures transparency, full model ownership, and complete data privacy. They do not store model inputs or outputs.

Q.What is FireFunction?

A.FireFunction is a SOTA function calling model used to compose compound AI systems for RAG, search, and domain-expert copilots.

Pros & Cons (Reserved)

✓ Pros

  • Fast inference speeds (9x faster RAG, 6x faster image gen)
  • Cost-efficient customization (40x lower cost for chat)
  • Engineered for scale (1T+ tokens generated per day)
  • Support for a wide range of models (Llama3, Mixtral, Stable Diffusion)
  • Production-grade infrastructure with high uptime

✗ Cons

  • Pricing is pay-per-token, which can be unpredictable
  • Reliance on open-source models may require additional fine-tuning
  • Some features may be more suited for advanced users and enterprises

Alternatives

No alternatives found.