Nebius has built-in the NVIDIA Bodily AI Knowledge Manufacturing unit Blueprint into its global-scale AI infrastructure. | Credit score: Nebius
Nebius Group N.V. and NVIDIA Corp. declare to have solved robotics improvement’s “three-computer downside,” 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 all the pieces from AI coaching to edge deployment for robotic builders.
“Bodily AI goes to be one of many defining expertise shifts of this decade, and the groups constructing it as we speak are being held again by infrastructure and tooling that was by no means designed for these workloads,” mentioned Evan Helda, head of bodily AI at Nebius. “Working with NVIDIA, we’re constructing the execution layer for all the bodily AI ecosystem — in order that any group, anyplace, can go from concept to deployed robotic on the velocity the market calls for.”
NVIDIA is presenting its annual GTC consumer 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 total AI expertise stack.
“Bodily AI is the subsequent section of computing — the place intelligence is educated, examined and validated in simulation earlier than it operates in the actual world,” said Rev Lebaredian, vice chairman of Omniverse and simulation applied sciences at NVIDIA. “That calls for tightly built-in methods connecting large-scale AI coaching with bodily correct simulation to create a steady knowledge flywheel. By integrating the NVIDIA Bodily AI Knowledge Manufacturing unit Blueprint, Nebius is enabling builders to generate physics-grounded artificial knowledge and construct secure, sturdy autonomous machines at scale.”
NVIDIA and Nebius combine key applied sciences
The brand new platform integrates the NVIDIA Bodily AI Knowledge Manufacturing unit Blueprint into Nebius’ infrastructure to deal with 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 all the improvement pipeline
- Knowledge technology: NVIDIA Cosmos basis fashions to create physics-consistent artificial knowledge
- Deployment: Contains the Nebius Token Manufacturing unit for low-latency inference and edge deployment
The platform is out there now in U.S. and European knowledge facilities.
Main bodily AI corporations construct within the cloud
RoboForce builds AI robots for unstructured outside environments — photo voltaic farms, building websites, agricultural fields — the place encountering edge circumstances is a each day actuality. Utilizing NVIDIA Cosmos open-world basis fashions on the Nebius cloud, RoboForce mentioned it lower pipeline setup time by greater than 70% and considerably accelerated the time to manufacturing for brand new insurance policies.
“Handbook handoffs between knowledge technology, simulation, and coaching imply our GPUs can sit idle — costing us each money and time,” mentioned Calvin Zhou, co-founder of Milpitas, Calif.-based RoboForce. “Utilizing OSMO agentic orchestration, our engineers can push a single configuration file and run all the pipeline finish to finish.”
“We’re producing 1000’s of situation variations with NVIDIA Cosmos on Nebius AI Cloud, powering our AI knowledge flywheel and accelerating the event of our robotic basis mannequin,” he added. “This permits us to push hardened robotic fashions straight to the sting and lower our iteration cycles from weeks to days.”
Ann Arbor, Mich.-based Voxel51 offers 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 clients can curate, increase, and quality-check visible datasets at scale—lowering the time between knowledge assortment and mannequin deployment.
“Knowledge is the largest determinant of pc imaginative and prescient success. As imaginative and prescient AI methods change into extra succesful, the limiting issue is now not algorithmic innovation however the high quality, protection, and observability of the information used to coach fashions,” mentioned Brian Moore, co-founder and CEO of Voxel51. “Nebius offers our customers the compute infrastructure for working complicated knowledge duties similar to auto-labeling and producing novel scenes on the velocity and scale wanted by bodily AI methods.”
Along with Nebius cloud for bodily AI and NVIDIA applied sciences, Voxel51 is delivering an artificial knowledge technology 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 pc 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 Purpose to fine-tune it into extremely correct, use-case-specific VLMs. For this computationally intensive work, Nebius offers sustained entry to massive GPU clusters, high-throughput knowledge pipelines, and managed workflow orchestration that retains coaching runs steady and cost-efficient.
“We evaluated a number of cloud suppliers, and Nebius supplied the most effective mixture of GPU availability, price-performance, and hands-on engineering help for our bodily AI and VLM coaching workloads,” mentioned Edward Mauser, director of Hafnia at Milestone Programs. “We selected Nebius not only for their tech, but additionally for his or her dedication to knowledge sovereignty — guaranteeing that European clients’ knowledge can stay inside Europe.”
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