STOCK TITAN

Nebius Launches Physical AI Living Lab for UK and European Robotics Startups Built With NVIDIA Technologies

(Moderate)
(Neutral)
Tags
AI

Key Terms

synthetic data technical
Data that is artificially generated to mimic the patterns and structure of real-world information without exposing actual personal or proprietary records. Investors care because synthetic data can let companies develop, test and demonstrate products faster and with lower privacy and regulatory risk—like using a realistic flight simulator instead of flying a real plane—while also carrying risks if the fake data fails to capture important real-world quirks.
ai cloud technical
AI cloud is remote computing equipment and software delivered over the internet that’s specifically set up to build, run and scale artificial intelligence applications — providing powerful computers, large data storage and ready-made AI tools on demand. It matters to investors because businesses that use or sell AI cloud can develop products faster, lower upfront costs and expand capacity quickly, much like renting a high‑powered workshop instead of buying all the machines, which can affect growth and profitability.
workload orchestration technical
Workload orchestration is the automated coordination and scheduling of computing tasks across servers and cloud services so applications run smoothly and efficiently, like a conductor directing musicians so each plays at the right time. For investors, it matters because better orchestration cuts operational costs, speeds product updates, and reduces downtime risk, all of which can improve a company’s margins, growth pace, and reliability of service.
foundation models technical
Foundation models are very large artificial intelligence systems trained on broad, general data so they can be quickly adapted to many different tasks, like a powerful, general-purpose engine or a Swiss Army knife for software. They matter to investors because they can lower costs and speed innovation across industries, create new products or revenue streams, and change competitive dynamics, while also introducing operational and regulatory risks that can affect a company’s financial outlook.
robot simulation technical
A robot simulation is a computer model that mimics how a physical robot would move, sense, and perform tasks in real-world conditions. For investors, it matters because simulations let engineers test designs, software, and failure scenarios quickly and cheaply—like a flight simulator for pilots—reducing development costs, speeding time to market, lowering technical risk, and helping demonstrate safety and performance to regulators and customers.
gpu technical
A GPU (graphics processing unit) is a specialized computer chip designed to handle many calculations at once, originally for rendering images and video but now widely used for tasks like artificial intelligence, data analysis and high-performance computing. Investors watch GPU demand and prices because strong sales often signal growth for chip makers and their customers, affect profit margins and capital spending, and can forecast wider trends in gaming, AI adoption and cloud services.
See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google
Add on Google

LONDON--(BUSINESS WIRE)-- Nebius, the AI cloud company, today announced the Physical AI Living Lab, a six-month program that equips British and European robotics startups with NVIDIA's physical AI development tools and Nebius's AI cloud infrastructure.

Physical AI depends on large-scale simulation, synthetic data, and accelerated compute that most early-stage robotics companies cannot assemble on their own. The Physical AI Living Lab removes that barrier, putting the same class of tooling and compute used to build physical AI at scale into the hands of founders, so they can move from simulation to real-world deployment faster.

The Lab builds on Nebius and NVIDIA's collaboration to create a cloud platform for robotics and physical AI. The companies intend to extend the Physical AI Living Lab to other regions over time and bring in further cohorts as the program grows.

Evan Helda, Head of Physical AI at Nebius, said:

"Most robotics teams can build a strong model — the bottleneck is getting the simulation, synthetic data, and compute in place to take it further. The Living Lab is built around that problem: founders get the full NVIDIA physical AI stack on Nebius AI Cloud and direct time with our engineers, so they spend time building robots, not assembling infrastructure. That proximity works both ways — working shoulder-to-shoulder with these teams sharpens how we run physical AI ourselves, and that feedback loop is exactly what we want to replicate as we bring the Lab to more cohorts and regions."

Anthony Hills, Director, UK&I, NVIDIA, said:

"The UK has world-class robotics and AI research, but there's still a real gap between that innovation and scaled, market-ready solutions in physical AI. This lab is about closing that gap by giving UK founders affordable access to the first two computers physical AI needs most: cloud-scale training on Nebius and NVIDIA's full simulation and synthetic data stack, including Cosmos and Isaac, running on NVIDIA RTX PRO GPUs. By removing the compute and tooling barriers that usually slow robotics companies down, we're giving UK startups a clear path from promising prototype to deployed systems that can move the needle for the UK economy and society."

Participating startups in the Physical AI Living Lab will work hands-on using NVIDIA technologies to deploy their physical AI workloads — NVIDIA OSMO for workload orchestration, NVIDIA Cosmos world foundation models, and NVIDIA Isaac Sim and NVIDIA Isaac Lab for robot simulation and training — together with the NVIDIA Physical AI Data Factory Blueprint, all running on Nebius infrastructure. Synthetic data generation is provided through Voxel51's FiftyOne integration, built on Cosmos world foundation models.

The first phase of the Physical AI Living Lab will run on Nebius's UK-based infrastructure, built on NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. Beyond the simulation and training tools, participants build, fine-tune and run their models on Nebius AI Cloud — the company's full-stack platform for taking AI from data and training through to production deployment.

Applications run through the NVIDIA Inception pipeline. The first cohort will begin in September 2026. Engineers from both Nebius and NVIDIA will provide technical guidance throughout the program.

About Nebius

Nebius, the AI cloud company, is building the full-stack platform for developers and companies to take charge of their AI future — from data and model training to production deployment. Founded on deep in-house technological expertise and operating at scale with a rapidly expanding global footprint, Nebius serves startups and enterprises building AI products, agents and services worldwide.

Nebius is listed on Nasdaq (NASDAQ: NBIS) and headquartered in Amsterdam.

For more information please visit www.nebius.com

Media kit www.nebius.com/media-kit.

Disclaimer

Forward-looking statements

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, which involve risks and uncertainties. All statements contained in this press release other than statements of historical fact, including, without limitation, statements regarding our future financial and business performance, strategy, expected growth, planned investments and capital expenditures, capacity expansion plans, anticipated future financing transactions and expected financial results, are forward-looking statements. The words "anticipate," "believe," "continue," "estimate," "expect," "guide," "intend," "likely," "may," "will" and similar expressions and their negatives are intended to identify forward-looking statements.

These forward-looking statements are subject to risks, uncertainties and assumptions, some of which are beyond our control. Actual results may differ materially from the results predicted or implied by such statements, and our reported results should not be considered as an indication of future performance. The potential risks and uncertainties that could cause actual results to differ from the results predicted or implied by such statements include, among others: market, macroeconomic and geopolitical conditions; our ability to build, operate and manage our businesses to the desired scale; competitive pressures; technological developments; our ability to secure and retain clients; our ability to secure additional capital to enable the growth of the business; unpredictable sales cycles; and potential pricing pressures; as well as those risks and uncertainties related to our continuing businesses included under the captions "Risk Factors" and "Operating and Financial Review and Prospects" in our Annual Report on Form 20-F for the year ended December 31, 2025, filed with the SEC on April 30, 2026, which is available on our investor relations website at https://nebius.com/investor-hub and on the SEC website at www.sec.gov.

All information in this press release is as of the date hereof (unless stated otherwise). Except as required by law, we undertake no obligation to update or revise publicly any forward-looking statements, whether as a result of new information, future events or otherwise, after the date on which the statements are made or to reflect the occurrence of unanticipated events.

In addition, statements that "we believe" and similar statements reflect our beliefs and opinions on the relevant subject. These statements are based upon information available to us as of the date hereof and, while we believe such information forms a reasonable basis for such statements, such information may be limited or incomplete, and our statements should not be read to indicate that we have conducted an exhaustive inquiry into, or review of, all potentially available relevant information. These statements are inherently uncertain, and investors are cautioned not to unduly rely upon these statements.

Media relations: media@nebius.com

Investor relations: askIR@nebius.com

Source: Nebius