vLLM vs Nebius

Nebius has a disclosed valuation of $25B, while vLLM's valuation is not publicly available, making a direct size comparison difficult. Nebius employs 1,000 people.

Nebius has raised $2B in disclosed funding across 1 known round. vLLM's funding history is not publicly available.

Nebius leads with an Awaira Score of 84/100, while vLLM sits at 45/100. That 39-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

vLLM was founded by Woosuk Kwon in 2023. Nebius's founder information is not currently available in our database.

vLLM: vLLM is an open-source high-throughput and memory-efficient inference and serving engine for large language models, developed initially at UC Berkeley and widely adopted in production AI deployments. The project introduced PagedAttention, a novel memory management technique that significantly increases GPU utilization during LLM inference by managing key-value cache memory analogously to how operating systems manage virtual memory pages.\n\nThe engine is used in production by AI infrastructure teams at major technology companies, AI labs, and cloud providers who need to maximize the number of concurrent LLM requests served per GPU. vLLM benchmarks consistently demonstrate throughput improvements of 10 to 20 times over naive inference implementations, translating directly into lower cost per inference query at scale. The project is maintained by a community of contributors from both academia and industry.\n\nHigh-throughput LLM serving infrastructure is foundational to the economics of AI deployment. As inference costs represent an increasing share of AI operating budgets, the performance characteristics of the serving engine directly determine the financial viability of AI-powered products. vLLM dominant position in open-source LLM serving gives it deep adoption among infrastructure engineers and makes it a reference implementation against which commercial serving solutions are measured. 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.

Both vLLM and Nebius launched in 2023. Same year, but even a few months' head start matters in AI — early movers lock in data, talent, and customer relationships fast.

vLLM has about 1-50 employees; Nebius has about 1,000. 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 vLLM and Nebius compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.