NVDA directional thesis
Every robot trained, simulated and deployed pays a toll to the same compute and sim stack, whether a pricey humanoid or a cheap arm does the work, so the toll-taker keeps winning as the bodies get cheap.
“There's this big, there's this big trend right now in just the LLM, the frontier AI market where companies will, you know, use the most versatile tool for the job, the frontier model, they'll token max, it'll be really expensive. And then pretty quickly they'll figure out, okay, for this workflow we can actually use an open source model on commodity hardware, we can use the legacy model, we can cut the cost by 85% pretty quickly.”52:41claim_id
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