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Consulting firms and systems integrators

Physical AI practitioners. Client-ready in weeks.

Train your practitioners on the NVIDIA enterprise AI stack, then run client workshops and proofs-of-concept on our platform, under your brand.

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A practitioner at an engineering workstation

What slows a new practice

Three barriers between your bench and billable work.

  1. Hardware

    TodayPractitioners on laptops, not GPU workstations.

    With UME.StudioNVIDIA accelerated computing in any browser.

  2. Client security

    TodayClient environments you cannot install into.

    With UME.StudioAn isolated sandbox, on-premise when required.

  3. Ramp-up time

    TodaySelf-study, one practitioner at a time.

    With UME.Studio20–50 hours of hands-on training, as a cohort.

From bench to new business

Four steps to a physical AI practice.

  1. 01

    Train your practitioners

    The NVIDIA enterprise AI stack, hands-on.

    Outcome

    Delivery-ready skills

  2. 02

    Run client discovery workshops

    On our platform, under your brand.

    Outcome

    A qualified opportunity

  3. 03

    Deliver proofs-of-concept

    Client teams join from any browser.

    Outcome

    A POC the client sees working

  4. 04

    Win the work, train the client

    Turn the POC into an engagement.

    Outcome

    New business, enabled clients

Your practice, on our platform

Everything a client engagement needs.

  • Pre-sales sandboxes

    Demo environments ready before the meeting.

  • Client discovery workshops

    Live, hands-on, in any browser.

  • Client training

    Train client teams on your solution.

  • Your branding

    Your firm's brand on every session.

  • Global delivery

    AI translation and localization built in.

  • On-premise

    The full platform inside a client's walls.

The curriculum

The NVIDIA enterprise AI stack, focused on physical AI.

Practitioners learn how the stack comes together in physical AI solutions: simulation and digital twins, robotics, and optimization with NVIDIA cuOpt, applied to client problems.

Programs run 20–50 hours, depending on where your practitioners start, and can be delivered to cohorts across regions.

  • Physical AI workflows
  • Solution design across the stack
  • Client-ready proofs-of-concept

Where your clients need it

From the part to the whole operation.

  1. The part

    Design and test every component in simulation.

    NVIDIA Omniverse · OpenUSD

  2. The machine

    Train robots before they touch hardware.

    NVIDIA Isaac Sim · Isaac Lab

  3. The site

    Plants, buildings, and infrastructure, tested before you change them.

    Digital twins · synthetic data

  4. The global footprint

    Optimize routes, sites, and supply chains.

    NVIDIA cuOpt

In practice

Global cohorts, one curriculum.

  • Consulting

    Practitioners upskilled across regions

    OutcomeMulti-cohort, multi-region

Next in Solutions Run your trainingEvents, customer training, and universities on our platform.

Contact

Build your physical AI practice.

Tell us about your practice and your clients. We will show you how firms like yours get started.

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Events

  • NVIDIA GTCSan Jose, CAPrimary ecosystem event
  • FED SUPERNOVAAustin, TXDefense innovation
  • ALL INMontreal, QCInternational AI conference