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Enterprise-grade programmatic fine-tuning and image generation API for custom AI models.
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Fireworks AI
PaidModel New Python SDK (v1.0.0)Fastest Inference for Generative AI
AI Inference PlatformPaid pricingAPI availableModel New Python SDK (v1.0.0)Updated 2026-05-09
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About Fireworks AI
Fireworks AI is a frontier inference platform specializing in high-speed, cost-effective deployment and fine-tuning of generative AI models, including Large Language Models (LLMs) and image generation models. Built by the creators of PyTorch, it leverages globally distributed virtual cloud infrastructure running on the latest hardware, optimized for industry-leading throughput and low latency. The platform provides a comprehensive AI model lifecycle management system, allowing developers to run a vast library of pre-optimized open-source models with serverless or on-demand GPU options. It supports advanced tuning techniques like reinforcement learning, quantization-aware tuning, and adaptive speculation to achieve superior quality from open models. For enterprises, Fireworks AI offers robust security, including SOC2, HIPAA, and GDPR compliance, with options for bring-your-own-cloud or managed cloud deployments, ensuring zero data retention and complete data sovereignty. Its core technical stack focuses on performance-engineered inference engines, auto-scaling capabilities, and an API-first approach for seamless integration into existing development workflows.
Product Release Intel
Latest Model/Version
New Python SDK (v1.0.0)
New Python SDK (v1.0.0)
The Build SDK (last version 0.19.20) has been deprecated and replaced by a new Python SDK, starting at version 1.0.0, generated directly from the REST API for improved flexibility and continuous synchronization.
Platform Updates (February 2026)
Major platform enhancements include the requirement to call `.apply()` for on-demand or on-demand-lora deployments using the Build SDK, 50% cost reduction for cached prompt tokens on serverless, new LLMs and image generation models like DeepSeek V3.2 and Mistral Large 3 675B Instruct, support for video and audio inputs with multimodal models, AWS S3 integration for training datasets (BYOB), JIT user provisioning for SSO (Enterprise), stop and resume functionality for fine-tuning jobs, web app dataset downloads, and Vision-Language Model (VLM) fine-tuning support with the Qwen 2.5 VL model family.
Microsoft Foundry Integration (March 2026)
Fireworks AI is now available on Microsoft Foundry in Public Preview, offering high-performance, low-latency inference for state-of-the-art open models like DeepSeek V3.2 and Kimi K2.5, and enabling users to deploy their own fine-tuned models at production scale within Azure.
Hathora Acquisition (March 2026)
Fireworks AI acquired Hathora Inc., a real-time compute and server orchestration platform, to significantly strengthen its global compute orchestration layer for both inference and training, enhancing capabilities for real-time AI workloads and the development of agentic AI.
Core Capabilities
Fireworks AI is a frontier inference platform specializing in high-speed, cost-effective deployment and fine-tuning of generative AI models, including Large Language Models (LLMs) and image generation models.
