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Fireworks AI

Ultra-fast inference — production AI with sub-100ms time-to-first-token.

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About

Fireworks AI (2022) is the speed-focused inference platform: sub-100ms time-to-first-token on popular models, with fine-tuning, LoRA serving, and compound AI (multi-model pipelines).

Commercial: usage-based. The latency leader for real-time AI (voice agents, interactive apps). For applications where every millisecond matters, Fireworks is the performance pick. Backed by $552M+ funding.

What it can do

  • • Sub-100ms time-to-first-token\n• Fast open-model inference\n• LoRA fine-tuning and serving\n• Compound AI pipelines\n• Real-time optimized\n• OpenAI-compatible API

Setup

  1. Sign up at https://fireworks.ai and get an API key.\n2. Use the OpenAI-compatible endpoint.\n3. Deploy LoRAs or use serverless models.

Prerequisites

A Fireworks AI account; credits.

Use cases

apiinferencevoice-agentsreal-timefine-tuning

Works with

Any agent (.md)Generic APIcustom

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier). The latency leader with sub-100ms TTFT and $552M+ backing. Docked three points: (1) premium pricing for speed; (2) smaller model selection than Together; (3) niche focus. For real-time AI.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
9.0/10
Maintenance · recency, releases, issue load
5.0/10
Openness · license + docs
4.5/10
Manual review · sanity read + red-flag check
8.0/10
  • · provider-tier estimate — thinner evidence (no public adoption metric)
  • · latency leader; $552M+ funding
  • · no release date — neutral maintenance score
  • · manual review: sub-100ms TTFT is real; smaller selection; license: proprietary — usage-based; premium for speed

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.