Headquarters
Redwood City, CAFounded
2022CEO / Founder
Lin QiaoEmployees
51-200Funding
Series D — $307MProducts
1 product listedAvg. AI Score
8.0/10Website
fireworks.aiProfile updated
Fireworks AI is an AI inference cloud founded in 2022 in Redwood City by Lin Qiao, a former Senior Director of Engineering at Meta who led PyTorch. The platform provides low-latency inference, fine-tuning, and serverless deployment of open-source LLMs and multimodal models.
Fireworks powers production AI for customers including Uber, Genspark, and Shopify, specializing in high-throughput, cost-efficient inference.
The company raised a $250 million Series C in October 2025 at a $4 billion valuation. Total funding is approximately $307 million from Sequoia, Benchmark, NVIDIA, AMD, and others.
Dated, source-cited figures. Estimates are marked.
All products by Fireworks AI reviewed by our AI panel of experts.
Six independent reviewer personalities assessed Fireworks AI's product on their own terms. They landed within 0.6 points of each other, an unusually strong consensus.
Averaged across 1 reviewed product in our catalog. Scores are out of 10.
Who Fireworks AI competes with, and how they differ.
Broadest direct overlap: also runs an open-source inference cloud with fine-tuning, dedicated endpoints, and its own GPU cluster business at comparable enterprise scale.
1 product reviewed on TopReviewedFocuses on deploying custom and fine-tuned models with heavier MLOps tooling around the serving layer, versus Fireworks' emphasis on a broad hosted open-model catalog.
1 product reviewed on TopReviewedDifferentiates on hardware: custom LPU chips for ultra-low-latency inference on a narrower set of models, rather than Fireworks' GPU-based, broader model catalog.
1 product reviewed on TopReviewedSimpler API-first model hosting aimed more at individual developers and prototyping, with a smaller enterprise/dedicated-capacity focus than Fireworks.
1 product reviewed on TopReviewedBuilt on the Ray distributed-compute framework; positions more around large-scale training and general ML infrastructure than as a pure inference-serving competitor.
1 product reviewed on TopReviewedKey milestones in Fireworks AI's history, with sources.
Series D — $1.5B led by Atreides Management, Index Ventures, and TCV at $17.5B valuation
Round arrives as Fireworks crosses $1B in annualized revenue run rate, up fivefold year-over-year, with daily token volume growing to more than 40 trillion.
fireworks.aiPublic preview of Fireworks AI on Microsoft Foundry launched on Azure
Multi-year partnership brings first-party, high-performance open-model inference into Azure via a single Foundry endpoint.
azure.microsoft.comAcquired Hathora, a real-time game-server orchestration startup
Talent-and-infrastructure acquisition; Hathora's container orchestration across 14 regions and multiple cloud/bare-metal providers strengthens Fireworks' global low-latency compute layer for inference.
siliconangle.comSeries C — $250M led by Lightspeed Venture Partners, Index Ventures, and Evantic at $4B valuation
Existing investor Sequoia Capital also participated; total funding to date reached $327M.
orrick.comSeries B — $52M led by Sequoia Capital at $552M valuation
NVIDIA, AMD, and MongoDB Ventures also participated; the platform processed 140B tokens daily at announcement, up from ~1,000 customers.
fireworks.aiSeries A — $25M led by Benchmark
Sequoia Capital and angel investors including former Snowflake CEO Frank Slootman also participated; Benchmark general partner Eric Vishria joined the board.
techcrunch.comFounded by seven former Meta PyTorch engineers led by Lin Qiao
Team that built and led PyTorch/Caffe2 at Meta left to build a production inference platform for open-source AI models; headquartered in Redwood City, CA.
research.contrary.comBrowse multi-perspective AI panel reviews across hundreds of AI tools, agents, and platforms. Find the right software with insights from CTO, Developer, Marketer, Finance, and User perspectives.