Nebius has built-in the NVIDIA Bodily AI Knowledge Manufacturing facility Blueprint into its global-scale AI infrastructure. | Credit score: Nebius
Nebius Group N.V. and NVIDIA Corp. declare to have solved robotics growth’s “three-computer drawback,” the place engineering groups waste as much as 40% of their time stitching collectively incompatible programs. 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,” stated Evan Helda, head of bodily AI at Nebius. “Working with NVIDIA, we’re constructing the execution layer for the complete bodily AI ecosystem — in order that any group, anyplace, can go from concept to deployed robotic on the pace the market calls for.”
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 expertise stack.
“Bodily AI is the following section of computing — the place intelligence is skilled, examined and validated in simulation earlier than it operates in the actual world,” acknowledged Rev Lebaredian, vice chairman of Omniverse and simulation applied sciences at NVIDIA. “That calls for tightly built-in programs connecting large-scale AI coaching with bodily correct simulation to create a steady information flywheel. By integrating the NVIDIA Bodily AI Knowledge Manufacturing facility Blueprint, Nebius is enabling builders to generate physics-grounded artificial information and construct secure, strong autonomous machines at scale.”
NVIDIA and Nebius combine key applied sciences
The brand new platform integrates the NVIDIA Bodily AI Knowledge Manufacturing facility Blueprint into Nebius’ infrastructure to deal with two core bottlenecks: fragmented tooling/infrastructure and the shortage of high-quality coaching information for uncommon real-world situations. 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 complete growth pipeline
- Knowledge era: NVIDIA Cosmos basis fashions to create physics-consistent artificial information
- Deployment: Consists of the Nebius Token Manufacturing facility for low-latency inference and edge deployment
The platform is accessible now in U.S. and European information facilities.
Main bodily AI firms construct within the cloud
RoboForce builds AI robots for unstructured outside environments — photo voltaic farms, building websites, agricultural fields — the place encountering edge instances 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.
“Handbook handoffs between information era, simulation, and coaching imply our GPUs can sit idle — costing us each money and time,” 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 complete pipeline finish to finish.”
“We’re producing hundreds of state of affairs variations with NVIDIA Cosmos on Nebius AI Cloud, powering our AI information flywheel and accelerating the event of our robotic basis mannequin,” 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 offers information 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 information assortment and mannequin deployment.
“Knowledge is the most important determinant of laptop imaginative and prescient success. As imaginative and prescient AI programs develop into extra succesful, the limiting issue is now not algorithmic innovation however the high quality, protection, and observability of the info used to coach fashions,” stated Brian Moore, co-founder and CEO of Voxel51. “Nebius provides our customers the compute infrastructure for working complicated information duties comparable to auto-labeling and producing novel scenes on the pace and scale wanted by bodily AI programs.”
Along with Nebius cloud for bodily AI and NVIDIA applied sciences, Voxel51 is delivering an artificial information era pipeline for its buyer, Porsche Engineering, to speed up autonomous driving data-augmentation workflows.
Milestone Methods 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 information, 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 offers sustained entry to massive GPU clusters, high-throughput information pipelines, and managed workflow orchestration that retains coaching runs secure and cost-efficient.
“We evaluated a number of cloud suppliers, and Nebius provided one of the best mixture of GPU availability, price-performance, and hands-on engineering assist for our bodily AI and VLM coaching workloads,” stated Edward Mauser, director of Hafnia at Milestone Methods. “We selected Nebius not only for their tech, but additionally for his or her dedication to information sovereignty — guaranteeing that European prospects’ information can stay inside Europe.”
