Fireworks

Fireworks AI is a high-performance platform designed to accelerate generative AI workloads with production-ready inference capabilities. It emphasizes speed, scalability, and cost-efficiency, enabling developers to move from prototype to compound AI systems rapidly.

Overview

Fireworks claims to deliver the fastest and most efficient inference engine for building production-ready, compound AI systems. It supports a broad ecosystem of models (including Llama 3, Llama 4, Mixtral, Stable Diffusion, and more) and provides optimized throughput, low latency, and scalable deployment options. The platform highlights its custom FireAttention CUDA kernel, disaggregated serving, semantic caching, speculative decoding, and DeepSeek technology to maximize performance across 100+ models and 1T+ tokens generated per day.

Key Benefits

• Blazing-fast inference for a wide range of models, including popular open-source and proprietary variants
• High throughput and low latency suitable for production environments
• Cost efficiency with optimized token pricing and scalable on-demand deployments
• Enterprise-grade infrastructure with SOC2 Type II and HIPAA-compliant options, secure networking, and dedicated deployments
• Seamless path from rapid prototyping to compound AI systems, including multi-model orchestration and external tools integration

How Fireworks Works

1. Start with a fast model API layer to run popular and specialized models (Llama3, Mixtral, Stable Diffusion, etc.) optimized for peak latency and context length.
2. Utilize FireAttention, a custom CUDA kernel, to achieve speeds four times faster than vLLM without sacrificing quality.
3. Leverage disaggregated serving, semantic caching, and speculative decoding to maximize throughput and minimize costs.
4. Build compound AI systems by orchestrating multiple models, modalities, and external data sources using FireFunction and specialized tooling for RAG, search, and domain copilots.
5. Deploy on secure, scalable infrastructure with serverless or dedicated deployment options and per-token pricing.

Core Technologies and Capabilities

• FireAttention: custom CUDA kernel for accelerated model inference
• DeepSeek: advanced retrieval or search-augmented capabilities (contextual optimization)
• Speculative decoding: speeds up generation by predicting likely tokens
• Disaggregated serving: scalable, modular model deployment
• Semantic caching: reduces redundant computations and improves latency
• FireFunction: function-calling and tool orchestration to compose compound AI systems
• Open-weight model orchestration and execution for multi-model workflows
• Schema-based constrained generation to improve safety and reliability

Platform and Deployment

• Start in seconds with serverless deployment or dedicated on-demand GPUs
• Post-paid pricing with free initial credits and pay-per-token model
• Supports 100+ models with instant access to specialized engines (Llama3, Mixtral, Stable Diffusion, etc.)
• Enterprise-ready: SOC2 Type II and HIPAA-compliant options, secure VPC/VPN connectivity, and BYOC support
• Scale to trillions of inferences daily and millions of images generated per day

Use Cases

• Rapid prototyping of AI-powered applications
• Production-grade AI copilots, code assistants, and domain-specific tools
• Multi-model orchestration for complex AI workflows (RAG, search, knowledge graphs, external APIs)
• Large-scale image and text generation with optimized economics

Safety and Compliance Considerations

• Platform emphasizes secure, private inference with data handling aligned to enterprise needs. Organizations should review governance, data privacy, and compliance requirements for their use cases.

What’s Included

• Fastest model APIs with instant access to 100+ models (Llama3, Mixtral, Stable Diffusion, etc.)
• FireAttention CUDA kernel delivering up to 4x speed improvements over vLLM
• Disaggregated serving for scalable, multi-model deployments
• Speculative decoding and semantic caching to boost throughput and reduce costs
• FireFunction for composing compound AI systems (RAG, search, domain copilots, automation)
• Open-weight model orchestration and execution across multiple models and modalities
• Schema-based constrained generation for safer, reliable outputs
• On-demand GPU deployment with serverless options and post-paid pricing
• SOC2 Type II & HIPAA-compliant offerings and secure networking (VPC/VPN, BYOC)
• High daily throughput: 1T+ tokens per day and 1M+ images generated per day