Nebius and NVIDIA collaborate for bodily AI cloud

Nebius Group N.V. and NVIDIA Corp. declare to have solved robotics growth’s “three-computer problem,” the place engineering groups waste as much as 40% of their time stitching collectively incompatible methods. The businesses have partnered to supply an built-in cloud platform that handles every little thing from AI coaching to edge deployment for robotic builders.

“Physical AI is going to be one of the defining technology shifts of this decade, and the teams building it today are being held back by infrastructure and tooling that was never designed for those workloads,” stated Evan Helda, head of bodily AI at Nebius. “Working with NVIDIA, we are building the execution layer for the entire physical AI ecosystem — so that any team, anywhere, can go from idea to deployed robot at the speed the market demands.”

NVIDIA is presenting its annual GTC person convention this week in San Jose, Calif. Earlier this month, NVIDIA additionally introduced that it’s investing $2 billion in Nebius, reflecting its confidence within the Amsterdam-based firm‘s enterprise and engineering experience throughout the complete AI know-how stack.

“Physical AI is the next phase of computing — where intelligence is trained, tested and validated in simulation before it operates in the real world,” acknowledged Rev Lebaredian, vice chairman of Omniverse and simulation applied sciences at NVIDIA. “That demands tightly integrated systems connecting large-scale AI training with physically accurate simulation to create a continuous data flywheel. By integrating the NVIDIA Physical AI Data Factory Blueprint, Nebius is enabling developers to generate physics-grounded synthetic data and build safe, robust autonomous machines at scale.”

NVIDIA and Nebius combine key applied sciences

The brand new platform integrates the NVIDIA Bodily AI Information Manufacturing facility Blueprint into Nebius’ infrastructure to handle two core bottlenecks: fragmented tooling/infrastructure and the shortage of high-quality coaching knowledge for uncommon real-world eventualities. The businesses listed the platform’s core applied sciences:

• Compute energy: NVIDIA RTX PRO 6000 Blackwell Server Version GPUs on Nebius AI Cloud
• Orchestration: NVIDIA OSMO for managing the whole growth pipeline
• Information era: NVIDIA Cosmos basis fashions to create physics-consistent artificial knowledge
• Deployment: Contains the Nebius Token Manufacturing facility for low-latency inference and edge deployment

The platform is accessible now in U.S. and European knowledge facilities.

Main bodily AI corporations construct within the cloud

RoboForce builds AI robots for unstructured out of doors environments — photo voltaic farms, building websites, agricultural fields — the place encountering edge circumstances is a day by day actuality. Utilizing NVIDIA Cosmos open-world basis fashions on the Nebius cloud, RoboForce stated it reduce pipeline setup time by greater than 70% and considerably accelerated the time to manufacturing for brand new insurance policies.

“Manual handoffs between data generation, simulation, and training mean our GPUs can sit idle — costing us both time and money,” stated Calvin Zhou, co-founder of Milpitas, Calif.-based RoboForce. “Utilizing OSMO agentic orchestration, our engineers can push a single configuration file and run the whole pipeline finish to finish.”

“We’re generating thousands of scenario variations with NVIDIA Cosmos on Nebius AI Cloud, powering our AI data flywheel and accelerating the development of our robot foundation model,” he added. “This enables us to push hardened robotic fashions straight to the sting and reduce our iteration cycles from weeks to days.”

Ann Arbor, Mich.-based Voxel51 gives knowledge visualization, curation, annotation, and evaluation capabilities for groups to construct high-quality datasets for mannequin coaching and simulations. By working FiftyOne workflows on Nebius GPU clusters, Voxel51 prospects can curate, increase, and quality-check visible datasets at scale—decreasing the time between knowledge assortment and mannequin deployment.

“Data is the biggest determinant of computer vision success. As vision AI systems become more capable, the limiting factor is no longer algorithmic innovation but the quality, coverage, and observability of the data used to train models,” stated Brian Moore, co-founder and CEO of Voxel51. “Nebius provides our customers the compute infrastructure for working advanced knowledge duties akin to auto-labeling and producing novel scenes on the pace and scale wanted by bodily AI methods.”

Along with Nebius cloud for bodily AI and NVIDIA applied sciences, Voxel51 is delivering an artificial knowledge era pipeline for its buyer, Porsche Engineering, to speed up autonomous driving data-augmentation workflows.

Milestone Programs is a worldwide chief in clever video administration software program and the corporate behind the Hafnia platform for laptop imaginative and prescient. It selected Nebius to fine-tune its next-generation vision-language fashions (VLMs).

Brøndby, Denmark-based Milestone curates real-world video footage into compliant, annotated coaching knowledge, then it makes use of NVIDIA Cosmos Cause to fine-tune it into extremely correct, use-case-specific VLMs. For this computationally intensive work, Nebius gives sustained entry to massive GPU clusters, high-throughput knowledge pipelines, and managed workflow orchestration that retains coaching runs steady and cost-efficient.

“We evaluated several cloud providers, and Nebius offered the best combination of GPU availability, price-performance, and hands-on engineering support for our physical AI and VLM training workloads,” stated Edward Mauser, director of Hafnia at Milestone Programs. “We chose Nebius not just for their tech, but also for their commitment to data sovereignty — guaranteeing that European customers’ data can remain within Europe.”

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