NVIDIA RTX Spark and the Case for Owning Your AI

What can you realistically do with AI running on your own hardware, and when does it still make sense to use a frontier model?

NVIDIA’s Apoorv Chaudhary joins Hannes Rudolph and Patrick Erichsen to talk about personal AI, privacy, RTX Spark, unified memory, and running OpenClaw with local models.

They explore how model size, context, task complexity, and multitasking change the answer, from everyday automations and coding assistance to demanding agent workflows.

Hannes pushes on the cost and limitations, while the conversation explores where local models already make sense and how local and cloud models can work together.

The episode closes with practical ways to research a setup that fits your needs, rather than a blanket recommendation to buy a particular machine.

Recorded October 21, 2026.

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