Fireworks AI, a startup that helps developers train and run artificial intelligence models, has raised $1.5 billion in Series D funding at a $17.5 billion valuation. Atreides Management, Index Ventures and TCV jointly led the round, with participation from Nvidia and more than a half-dozen other backers.
The company’s annualized revenue recently surpassed $1 billion, driven by customers including Samsung Electronics and GitLab. Fireworks says it processes more than 40 trillion tokens per day for its users.
What Fireworks actually does
Fireworks operates a cloud platform for fine-tuning open-source AI models. Developers describe their training task, upload a dataset, and the platform’s AI agent handles the technical details, including hyperparameter optimization. The platform supports four parallelization techniques for distributed training.
After training, customers host models on one of two inference services. The serverless option requires no infrastructure configuration, while the Deployments service offers dedicated GPU clusters with autoscaling and model quantization to reduce compute costs.
What the funding buys
Fireworks will use the proceeds to expand its infrastructure and hire more engineers. The round reflects a broader trend of massive capital flowing into AI infrastructure companies that handle the compute layer for enterprise AI adoption.
