Nebius vs Lambda Labs

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 Lambda Labs has 300 employees.

Lambda Labs has raised more in total funding at $2.3B, compared to Nebius's $2B — a gap of $300M. Combined, the two companies have completed 4 known funding rounds.

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

Lambda Labs was founded by Stephen Balaban in 2012. 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. Lambda Labs: Lambda Labs is a cloud infrastructure provider specializing in GPU and AI computing resources, founded in 2012 and headquartered in the USA. The company operates a Series E funding stage with a valuation of $4.0 billion and has raised $2.3 billion in total funding. Lambda Labs provides on-demand cloud computing infrastructure optimized for machine learning, deep learning, and AI workloads, offering GPU instances, CPU resources, and storage solutions designed for researchers, enterprises, and AI practitioners. The platform enables users to access high-performance computing resources without significant capital expenditure, addressing the computational demands of training large-scale AI models. Lambda Labs competes in the AI infrastructure market alongside established providers like AWS, Google Cloud, and Microsoft Azure, as well as specialized competitors such as Lambda, Crusoe Energy, and CoreWeave. The company positions itself as an alternative to hyperscale cloud providers by offering specialized infrastructure optimized specifically for AI and machine learning workloads, potentially with competitive pricing and customer-focused service models. Lambda Labs serves various sectors requiring intensive computational resources, including academic research institutions, startups, and enterprise organizations developing AI applications. The company's growth trajectory reflects increasing demand for accessible, scalable AI computing infrastructure as organizations accelerate machine learning adoption. Its substantial funding and valuation indicate investor confidence in the expanding AI infrastructure market. Lambda Labs provides specialized GPU cloud infrastructure optimized for AI and machine learning workloads as an alternative to general-purpose hyperscale cloud providers.

Lambda Labs got there first, launching in 2012 — that's 11 years 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; Lambda Labs has about 300. 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 Lambda Labs compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.