Stock Markets March 11, 2026

Nebius Jumps After NVIDIA Commits $2 Billion to Build Hyperscale AI Cloud Infrastructure

Strategic partnership will accelerate Nebius's AI cloud rollout with multiple NVIDIA platforms as questions over circular financing persist

By Sofia Navarro NBIS NVDA
Nebius Jumps After NVIDIA Commits $2 Billion to Build Hyperscale AI Cloud Infrastructure
NBIS NVDA

Nebius Group shares rose sharply after NVIDIA announced a $2 billion strategic investment to help build hyperscale AI cloud infrastructure. The agreement calls for deployment of multiple generations of NVIDIA hardware across Nebius's platform and a plan by Nebius to exceed 5 gigawatts of capacity by the end of 2030. NVIDIA's financing approach has faced scrutiny over so-called circular financing, an issue noted in the announcement.

Key Points

  • Nebius Group shares rose 10% after NVIDIA announced a $2 billion strategic investment and partnership to develop hyperscale AI cloud infrastructure.
  • Nebius plans to deploy more than 5 gigawatts of capacity by the end of 2030, with collaboration on AI factory design, inference, infrastructure deployment, and fleet management optimization.
  • The partnership will include deployment of multiple generations of NVIDIA infrastructure on Nebius’s platform, including NVIDIA Rubin, NVIDIA Vera CPUs, and NVIDIA BlueField storage systems, and impacts cloud, AI compute, semiconductor, and data center sectors.

Nebius Group N.V. shares climbed 10% Wednesday morning following an announcement that NVIDIA will make a $2 billion investment in the cloud provider as part of a strategic partnership aimed at developing hyperscale cloud infrastructure for the AI market.

The collaboration is intended to deepen joint work across the AI technology stack - spanning AI factory architecture through to production software - and is designed to accelerate Nebius’s construction of an AI cloud platform. As part of the agreement, NVIDIA will back Nebius’s early adoption of NVIDIA’s latest generation accelerated computing platform.

Under the terms disclosed, Nebius plans to deploy more than 5 gigawatts of capacity by the end of 2030. The companies will work together on AI factory design, inference capabilities, deployment of AI infrastructure, and optimization of fleet management.

The partnership calls for the integration of multiple generations of NVIDIA infrastructure on Nebius’s platform, specifically citing the NVIDIA Rubin platform, NVIDIA Vera CPUs, and NVIDIA BlueField storage systems. Nebius is already in the process of deploying NVIDIA infrastructure across its global footprint, including several gigawatt-scale AI factories in the U.S.

"AI is at another inflection point - agentic AI, driving incredible compute demand and accelerating infrastructure buildout," said Jensen Huang, founder and CEO of NVIDIA. "Nebius is building an AI cloud designed for the agentic era, fully integrated from silicon to software and powered by NVIDIA’s next-generation accelerated compute."

The announcement noted that NVIDIA has previously made investments in AI startups and cloud providers that later purchased its GPUs, and that the company has faced criticism for such circular financing arrangements. The companies cited as past recipients of NVIDIA investments include OpenAI, CoreWeave, and Anthropic.


This strategic investment and technology collaboration directly affect stakeholders in cloud infrastructure, AI compute capacity, semiconductor-accelerated computing, and data center development. Market participants will watch Nebius’s capacity buildout progress and the rollout of NVIDIA platforms across Nebius’s global operations.

Risks

  • NVIDIA has faced criticism for circular financing arrangements where it invests in companies that subsequently purchase its GPUs; this scrutiny may draw regulatory or reputational attention affecting the semiconductor and cloud sectors.
  • Execution risk tied to Nebius’s plan to deploy more than 5 gigawatts of capacity by 2030 - the timeline and large-scale buildout involve operational and capital challenges for cloud infrastructure and data center development.
  • Reliance on multiple generations of a single vendor’s infrastructure could concentrate technology and supply-chain exposure in AI compute and data center operations.

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