Fireworks AI
High-speed inference platform for open-source models.
Fireworks AI is an inference-serving platform optimized for fast, low-cost deployment of open-weight LLMs and multimodal models, built on its FireAttention engine. It targets developers who want production inference without managing GPUs, competing with Together AI and Baseten. It runs on Nvidia GPUs sourced from clouds/neoclouds and raised a large 2025 round.
Focus
Fast open-model inference API
Engine
FireAttention
Silicon
Nvidia GPUs
How it fits the stack
Fireworks AI with what it depends on (above) and what it feeds (below). The figure renders as a crawlable diagram and upgrades to an interactive 3D graph as it scrolls into view.
Fireworks AI in the AI stack. Fireworks AI with its immediate upstream dependencies (top) and downstream dependents (bottom) in the AI value chain. Hover a node in 3D, or read the full relationships below.
Graph data (text) — 6 entities, 5 relationships
- Fireworks AI —depends on→ CoreWeave (financing)
- Fireworks AI —depends on→ Nvidia
- Fireworks AI —uses→ vLLM
- Fireworks AI —uses→ vLLM / Inference Serving Stack
- Model routers & inference marketplaces —uses→ Fireworks AI
Depends on ↑ · 4