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Platform & Industrial Systems · 1 reading path

From compute to operation

How hardware, Omniverse and shared models fit together, from the compute underneath physical AI to the industrial systems it is meant to improve.

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From compute to operation · 6 pieces

How hardware, Omniverse and shared models fit together—from the compute underneath physical AI to the industrial systems it is meant to improve.

Start with NVIDIA's Hardware Line Looks Like a Catalog. It's One Architecture in Many Boxes.

More in Platform & Industrial Systems

5 pieces not currently in a reading path.

Writing POV 13 min read

Most Robot Policies Don't Need Tactile Input. The Test Is Whether Vision Can See What Decides the Task.

Years of MES work taught me where automation stops: at tasks whose decisive state cannot be written down or seen. Tactile input earns its place when it reveals that missing state; contact alone is not enough.

 Writing Untangle 8 min read

What Kind of Truth Does Your Digital Twin Need?

Every digital twin needs a usable digital starting point. CAD, LiDAR, photogrammetry and Gaussian splatting preserve different kinds of truth, so the representation should follow the decision. Part 1 of a three-part series.

 Writing Untangle 9 min read

What Industrial Maintenance Demands From Robot Capture

A refinery valve operation shows why robot capture should begin with the task: preserve the motion, contact, timing and measurements the policy will need.

 Writing POV 8 min read

A VLA Benchmark Is Not a Commissioning Package

Robot foundation models are getting better at handling situations they were not shown. That makes the old commissioning questions more important: where is the model valid, how do I know it has left that range, and what happens next?

 Writing POV 5 min read

Physical AI's bottleneck isn't the model anymore

We finally have models that can watch the physical world, reason about it, and predict what happens next. Walk a real automotive parts-kitting task through what they actually solve, and the thing still standing between a demo and a working line isn't a smarter model: it's the policy you have to train for your machine, and the system that keeps it trained.