Nebius vs Fireworks AI

By valuation, Nebius is the larger company at $25B versus $4B — a 6.3x difference. Size can also be measured by team: Nebius employs 1,000 people while Fireworks AI has 150 employees.

Nebius has raised more in total funding at $2B, compared to Fireworks AI's $327M — a gap of $1.7B. Combined, the two companies have completed 3 known funding rounds.

Nebius leads with an Awaira Score of 84/100, while Fireworks AI sits at 82/100. That 2-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Fireworks AI was founded by Lin Qiao in 2022. Nebius's founder information is not currently available in our database.

Nebius: Nebius is a Dutch AI infrastructure company that provides full-stack AI cloud computing services, from GPU clusters to managed machine learning platforms. Originally spun out of Yandex, Nebius has established itself as a major AI infrastructure provider with strategic partnerships including a $2 billion investment from NVIDIA and a $27 billion infrastructure deal with Meta covering dedicated GPU capacity and compute resources over a five-year period. The company operates AI-optimized data centers and offers cloud services that span the entire AI stack — from bare-metal GPU access through high-level managed AI services. Nebius competes in the rapidly growing AI cloud market alongside CoreWeave, Lambda, and the major hyperscalers, differentiating through deep engineering expertise across hardware and software layers. Fireworks AI: Fireworks AI, founded in 2022, develops infrastructure software for deploying and running large language models (LLMs) in production environments. The company provides a platform that enables organizations to deploy, fine-tune, and optimize open-source and proprietary models with reduced latency and cost. Fireworks AI's core offering focuses on inference acceleration, allowing enterprises to serve LLMs efficiently at scale through specialized hardware optimization and software acceleration techniques. The platform supports multiple model architectures and enables customization for specific use cases, including content generation, summarization, and code completion. The company has secured $327M in total funding at a $4.0B valuation as of Series C, reflecting significant investor confidence in AI infrastructure. Fireworks AI operates in a competitive segment alongside providers like Together AI, Modal, and cloud-based solutions from major vendors. The company targets enterprises seeking to reduce operational costs associated with LLM deployment while maintaining performance control and data privacy. Its position reflects broader market trends toward distributed AI infrastructure and the need for cost-efficient model serving solutions. The infrastructure layer Fireworks occupies addresses a critical gap between model development and production deployment, supporting the growing adoption of generative AI across industries. Fireworks AI specializes in inference optimization infrastructure, enabling cost-effective production deployment of large language models for enterprise customers.

Fireworks AI got there first, launching in 2022 — that's 1 year of extra runway. Nebius didn't arrive until 2023. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Nebius has about 1,000 employees; Fireworks AI has about 150. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Nebius and Fireworks AI compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.