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Fireworks AI

High-performance AI model inference and deployment platform

Usage Based
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Description

Fireworks AI provides a scalable platform designed for accessing and deploying artificial intelligence models. It caters to both individual developers starting projects and large enterprises requiring robust, scalable solutions. Users can leverage serverless inference for various model types, including large language models (LLMs), image generation, multi-modal understanding, speech-to-text, and embedding models, paying based on usage metrics like tokens or inference steps.

For more demanding workloads, Fireworks AI offers on-demand deployment options using powerful GPUs like A100s, H100s, H200s, and MI300Xs, billed hourly. The platform also supports model fine-tuning, charging based on the training dataset size without additional deployment costs. Enterprise clients can benefit from custom pricing, unlimited rate limits, dedicated deployments, and guaranteed support.

Key Features

  • Serverless Inference: Pay-as-you-go access to various AI models (LLMs, Image, Multi-modal, Speech-to-text, Embedding).
  • On-Demand GPU Deployments: Access dedicated GPUs (A100, H100, H200, MI300X) billed hourly for high-performance needs.
  • Model Fine-Tuning: Customize models based on your data with usage-based pricing.
  • Pay-As-You-Go Pricing: Flexible pricing based on usage metrics (tokens, steps, audio minutes, GPU hours).
  • Wide Model Library: Access to state-of-the-art models like Llama 4, DeepSeek, Mixtral, SDXL, Whisper, etc.
  • Enterprise Solutions: Custom pricing, dedicated deployments, unlimited rates, and SLAs for large-scale use.
  • Team Collaboration Features: Included in the Developer plan.

Use Cases

  • Developing applications powered by large language models.
  • Integrating AI image generation capabilities.
  • Building systems with multi-modal understanding.
  • Implementing speech recognition and transcription.
  • Creating custom AI models through fine-tuning.
  • Scaling AI inference for production environments.

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