Nebius to Offer NVIDIA Blackwell Ultra-Powered Instances

• Nebius will be an early adopter cloud provider of the NVIDIA Blackwell Ultra platform, offering NVIDIA GB300 NVL72-powered instances 
• Announces general availability of NVIDIA Blackwell GPU capacity at U.S. data centers beginning in Q2
• Also named as ecosystem partner for new NVIDIA Dynamo Inference Engine
   

Amsterdam, March 18, 2025 — Nebius (NASDAQ:NBIS), a leading AI infrastructure company, will be an early adopter AI cloud provider to offer the new NVIDIA Blackwell Ultra AI factory platform – unlocking the world’s most advanced compute on demand for AI builders and enterprises everywhere to build the next generation of agentic, reasoning and physical AI.

In support of the launch of NVIDIA Blackwell Ultra today at GTC 2025, Nebius will give its customers access to NVIDIA GB300 NVL72-powered instances – accelerated by 72 NVIDIA Blackwell Ultra GPUs – by the end of 2025.

Arkady Volozh, founder and CEO of Nebius, said: 

“Access to world-class AI infrastructure is the key to realizing the full potential of AI. With dedicated NVIDIA Blackwell capacity available from next quarter, Nebius is giving AI innovators and enterprises everywhere access to the world’s most powerful AI compute through our AI-native multi-tenant cloud. This is the future of AI, and we’re building it today.”

“The NVIDIA Blackwell platform was built to bring the power of AI to enterprises and innovators worldwide,” said Dave Salvator, director of accelerated computing products at NVIDIA. “As one of the first GPU cloud providers to offer NVIDIA Blackwell and Blackwell Ultra-powered instances, Nebius will enable its customers to accelerate next-generation reasoning models, AI agents and physical AI applications.”

Today Nebius was also confirmed as an ecosystem partner for NVIDIA Dynamo, an open-source inference serving framework for deploying generative AI in large-scale distributed environments. NVIDIA Dynamo provides the most efficient solution for scaling test-time compute. Dynamo on NVIDIA Blackwell boosts throughput on DeepSeek-R1 by 30x. 

Nebius today confirmed that its recently announced data center in New Jersey will be dedicated solely to NVIDIA Blackwell-architecture GPUs. A deployment of NVIDIA HGX B200 at the company’s Kansas City data center is also expected to be available to customers during Q2 2025.

Pre-orders for NVIDIA GB200 NVL72 and NVIDIA HGX B200 instances can be placed now on Nebius’s website.

Nebius is currently exhibiting at GTC 2025, demonstrating the capabilities of its AI Cloud and AI Studio for AI builders, innovators and enterprises at Booth 809.

About Nebius

Nebius is a technology company building full-stack cloud infrastructure to serve the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, and tools and services for developers. Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America and Israel. The team includes around 400 highly skilled hardware and software engineers, as well as an in-house AI R&D team.

Nebius’ core business is an AI-native cloud platform that delivers a true hyperscale cloud experience tailored for AI innovators. With proprietary cloud software architecture and hardware designed in-house (including servers, racks and data center design), Nebius gives AI builders the compute, storage, managed services and tools they need to build, tune and run models and apps in one place. 

A Reference Platform NVIDIA Cloud Partner, Nebius builds its AI Cloud on NVIDIA Reference Architecture, verified through adoption, strict adherence, and validation of NVIDIA Cloud Partner Reference Architecture across the entire technology stack of hardware and software components.

Nebius holds Reference Platform NVIDIA Cloud Partner status, one of only a handful of AI cloud providers to meet these requirements globally, underscoring Nebius’ expertise in designing and deploying a full stack of hardware and software infrastructure that meets NVIDIA’s standards for AI and ML workloads.

To learn more please visit www.nebius.com

Contacts

For journalists: media@nebius.com

For investors: askIR@nebius.com

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