Fireworks AI

What is Fireworks AI primarily used for?

Fireworks AI is a frontier inference platform designed for rapidly deploying, running, and fine-tuning state-of-the-art open-source Large Language Models (LLMs) and image generation models. It's optimized for blazing-fast inference speeds and cost-efficiency.

What kind of models can I run on Fireworks AI?

You can run a wide range of popular open-source models, including various LLMs (e.g., Deepseek, MiniMax, GLM, Qwen, Gemma) and vision/image models (e.g., Kimi, FLUX.1 Kontext Pro, SDXL), and audio models like Whisper V3 Large. The platform is continuously updated with the latest models.

Does Fireworks AI support fine-tuning of models?

Yes, Fireworks AI offers robust capabilities for fine-tuning open models. It supports advanced tuning techniques such as reinforcement learning, quantization-aware tuning, and adaptive speculation to achieve the highest quality results for your specific use cases at no additional platform cost for deploying your own models.

What are the key performance benefits of using Fireworks AI?

Fireworks AI is optimized for speed, quality, and cost. Customers have reported significant performance gains, including 3x speedups in response time, and latency reductions from 2 seconds down to 350 milliseconds, alongside 50% higher GPU throughput for complex workflows.