NVIDIA Education Partner
Put physical AI to work in your operation.
UME.Studio brings together what physical AI projects need: NVIDIA accelerated computing in every participant's browser, hands-on training developed by UME.Studio, and a project drawn from your own operation. Your team builds a working proof-of-concept in 3–6 weeks.
Physical AI teams at
- Booz Allen Hamilton
Why physical AI projects get stuck
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Hardware
Where projects stallGPU workstations wait on procurement, so the team waits too.
With UME.StudioNVIDIA accelerated computing in the browser from the first session, while hardware is procured.
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IT and security
Where projects stallNew AI software on internal systems means months of security review.
With UME.StudioAn isolated hosted environment with nothing to install, or run it on your own infrastructure.
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Team capability
Where projects stallOne engineer self-studies, and the knowledge stays with them.
With UME.StudioA cross-functional team builds on one real problem, with instructors who see every workspace.
Give your team the tools and the expertise to move forward.
The Academy develops your team's capability. The Platform provides the environment for learning and collaborative work, with continued access agreed for each program or platform licence.
From a single component to an entire operation.
Physical AI puts simulation, robotics, and AI models to work on physical operations. Test a change in simulation before you commit to it, then bring real-world results back so the next round is more accurate.
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The part
Design and test each component in simulation.
NVIDIA Omniverse · OpenUSD
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The machine
Train robots before they touch hardware.
NVIDIA Isaac Sim · Isaac Lab
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The site
Plants, buildings, and infrastructure, tested before you change them.
Digital twins · synthetic data
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The global footprint
Optimize routes, sites, and supply chains.
NVIDIA cuOpt
Northrop Grumman, Deloitte, AstraZeneca, and NVIDIA have worked with UME.Studio.
UME.Studio develops hands-on technical training around customer teams, technologies, and use cases. Engagement details are shared only where permission allows.
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Defense
Cross-discipline teams adopting physical AI
Engineering and manufacturing teams learned physical AI together, then went on to evaluate it in their manufacturing operations.
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Consulting
Global cohorts of practitioners upskilling
Multiple cohorts across the globe, with developers, program managers, project managers, and practitioners learning physical AI together.
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Partner
A physical AI workshop at GTC 2026
NVIDIA invited UME.Studio to design and run a physical AI training workshop at GTC 2026, on the UME.Studio platform.
Choose where to start.
- Industry
Find the first project that creates value
An Academy program built around a challenge from your own operation, run on the Platform.
- Solution Integrators
Build a physical AI practice
Train practitioners, run client workshops under your brand, and build proofs-of-concept that support new business proposals.
- Defense
Build capability in the deployment your team needs
Academy programs and the Platform for defense teams, hosted or run on your own infrastructure.
- Run your training
Events, customer training, and universities
Your curriculum and instructors on the Platform: prepared workstations, and every participant's work in view.
- Partners
Bring physical AI training to your NVIDIA customers
Add hands-on enablement and sandboxes to the hardware and software your customers buy.
Where your team learns can become where it works.
The Academy helps your team build capability around a project that matters. The Platform can remain its shared environment for collaboration and further development, with continued access agreed as part of your program or platform licence.
Start the conversation.
Tell us what you would like help with. You do not need to arrive with a defined project.