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Interactive Business Model Canvas · #022

Fireworks AI

AI Inference · Sep 21, 2026

Serverless → On-Demand Open + specialized models Train + serve loop Usage + reserved

Serverless Standard lands builders on per-token open-model APIs ($1 free credits; OpenAI/Anthropic compatible); cached input (~50%) and Batch (−50%) cut cost on repeated and async prompts; Priority and Fast tiers buy reliability and speed; On-Demand sells dedicated GPU-hours (H100/H200 $8, B200 $13, B300 $15, GB300 $20); Training (LoRA/SFT/DPO $/1M and GPU-hour RFT) specializes models on the same stack; Reserved Capacity / Enterprise closes guaranteed throughput and BYOC.

Click any of the 9 blocks below for a plain-language story of how that part of the model works for Fireworks AI — and how it connects to the others.

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