Untether AI vs Nebius

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

Nebius has raised more in total funding at $2B, compared to Untether AI's $160M — a gap of $1.8B. Combined, the two companies have completed 2 known funding rounds.

Nebius leads with an Awaira Score of 84/100, while Untether AI sits at 68/100. That 16-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Untether AI was founded by Martin Snelgrove in 2018. Nebius's founder information is not currently available in our database.

Untether AI: Untether AI designs AI inference accelerator chips using a compute-near-memory architecture that places processing elements directly adjacent to memory storage rather than in a separate compute chip, dramatically reducing the data movement bottleneck that limits inference throughput and energy efficiency in conventional von Neumann architectures. The Toronto company develops both the chip architecture and the supporting software compiler toolchain required to deploy AI models on its hardware.\n\nThe company raised approximately $160 million in venture funding from investors including Intel Capital, Export Development Canada, and BDC Capital. Untether AI targets inference-intensive AI applications including edge AI deployment, data centre inference servers, and cloud inference acceleration where power efficiency and throughput per dollar are the primary evaluation metrics. The compute-near-memory approach is architecturally distinct from both GPU-based inference and other AI accelerator designs, with published benchmarks showing significant performance-per-watt advantages for specific inference workload types.\n\nUntether AI competes in the AI inference chip market against NVIDIA TensorRT, Groq, Cerebras, and other AI accelerator companies pursuing different architectural approaches to the inference efficiency problem. Canada position as a global AI research hub, anchored by the Vector Institute in Toronto and Mila in Montreal, provides a strong talent pipeline and research collaboration environment for deep chip design and AI systems work. The company architecture-first approach requires a longer path to production deployment than companies adapting existing GPU infrastructure, but targets a structurally different point on the performance-efficiency curve. 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.

Untether AI got there first, launching in 2018 — that's 5 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.

Untether AI has about 100-500 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 Untether AI and Nebius compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.