Fireworks AI

Fireworks announced general availability of its Training API and Fireworks Lab on August 31, 2026, opening its managed training and rollout infrastructure to ML teams that want to run custom training loops on open models. The API connects a customer's own Python training loop to Fireworks-managed distributed compute, s Promising checkpoints can be promoted to production inference through the UI or API, and multi-LoRA deployment gives each customer or use case its own tuned model without separate infrastructure, according to the announcement. Fireworks positions the API against constraints it says ML teams have reported in existing wo

Fireworks AI announced Fireworks Nexus on July 26, 2026, a managed layer that connects developer AI tools to curated open-weight models like Kimi K3 and GLM-5.2 with enterprise controls and intelligent routing. The product is composed of three components: enterprise controls and cost observability with team-level budge The announcement positions Nexus as a drop-in replacement for closed-model APIs that aims to remove the operational complexity of running open-weight models at scale. It frames the launch around the cost trajectory of frontier models, citing Forbes' reporting that Uber burned through its 2026 AI budget by April after r

Fireworks AI announced a $1.505 billion Series D funding round at a $17.5 billion valuation, led by Atreides Management, Index Ventures, and TCV, with participation from Evantic Capital, Lightspeed Venture Partners, Nvidia, 20VC, Bessemer Venture Partners, Menlo Ventures, and others. The round coincides with Fireworks The funding is earmarked for expanding compute infrastructure, growing the engineering team, and continuing to build the platform that helps customers own the intelligence powering their products and operations. Fireworks cites real-world deployments including Cursor's coding models and Harvey's legal AI as examples of

Fireworks AI raised $1.505 billion in a Series D round at a $17.5 billion valuation, according to Dealroom. The round was led by Atreides Management, Index Ventures, and TCV, with Evantic Capital, Lightspeed Venture Partners, Nvidia, 20VC, Bessemer Venture Partners, and Menlo Ventures also participating. The company ha Fireworks is described as helping companies turn general-purpose AI models into specialized intelligence trained on their own data, then running that specialized inference at scale on its inference stack, pitching frontier-quality performance at a fraction of the cost. The capital raise signals continued investor confi

Learn how you can access low latency, high throughput inferencing for open models and performance-optimized deployment of custom models with Fireworks AI on Microsoft Foundry.

Fireworks Ai: SaaS platform for developers and enterprises to run, fine-tune, and deploy LLMs and image models with fast inference and low latency.

IREN's 7/20/2026 press release announces $2.8 billion in new multi-year AI Cloud contracts and raises its 2026 AI Cloud ARR target from $3.7bn to more than $4bn. Fireworks AI is named directly as a contracted customer alongside Microsoft, NVIDIA, Perplexity, Figure AI, Together AI, Fluidstack, Fal AI, and Hume AI, with The deal is operationally significant for Fireworks: it independently corroborates that Fireworks is securing substantial multi-year GPU/compute capacity from a vertically integrated AI Cloud provider during a period of supply tightness. IREN reports scaling from roughly 3MW of self-built AI Cloud capacity a year earli