NVIDIA Education Partner
Physical AI adoption. Weeks, not years.
NVIDIA accelerated computing in every browser, and expert guidance, so your whole team can take part and deliver a working project in 3–6 weeks.
Physical AI teams at

- NVIDIA
- Booz Allen Hamilton
3–6weeks
To a working proof-of-concept
100seats
In one live event
Day 1
On the platform, while hardware is procured
Simulation, robotics, automation, and AI models working on your operation. Better decisions, earlier, for less.
Three barriers slow adoption. We remove all three.
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Hardware
Without UME.StudioWaiting on GPU procurement.
With UME.StudioAccelerated compute in any browser, day one.
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IT and security
Without UME.StudioMonths of security review.
With UME.StudioAn isolated sandbox. Nothing to install.
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Team capability
Without UME.StudioSelf-study, one engineer at a time.
With UME.StudioCross-functional teams, building together.
From the part to the whole operation.
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The part
Design and test every 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
First session to working POC. 3–6 weeks.
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Multi-day
Get in
The whole team learns by doing.
Outcome
Shared fluency
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3–6 weeks
Build together
A capstone from your own operation.
Outcome
A working POC
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Ongoing
Lead the change
Present to leadership. Keep building.
Outcome
A plan to scale
Teams that started with us are already building.
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Defense
POCs that became pilots
OutcomePOCs to active pilots
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Consulting
Global cohorts, one curriculum
OutcomeMulti-cohort, multi-region
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Life sciences
Robotics simulation in pharma
OutcomeSimulation in production planning
Where your team learns becomes where it works.
Events
- NVIDIA GTCSan Jose, CAPrimary ecosystem event
- FED SUPERNOVAAustin, TXDefense innovation
- ALL INMontreal, QCInternational AI conference