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The a16z Show · Thursday, August 6, 2026

Burt and ResNet Marked Early Demands for Specialized Hardware in AI

Recounting early AI developments, Simon Mo identifies 'Burt' as a model that necessitated GPU usage for efficiency, preceding even the widespread adoption of GPUs. He also mentions 'ResNet' for quantification in computer vision, which initially required Nvidia K80 GPUs.

personSimon MocompanyNvidia

The tape

3 quotes
Probably Burt. And before that it was ResNet for quantification, like computer vision, classification.
Simon Mo
So ResNet already needed to run on Nvidia K80, which is one of the first GPU. Other places. But way over, but even at this point, ResNet you can still kind of run on a commodity even CPU devices, it's just very slow.
Simon Mo
But for Burt, where running it at like, wow, you have to run on GPU to make it anything faster or efficient for any translation or any task.
Simon Mo
Heard on The a16z Show — “How Open-Source AI Became Critical Infrastructure, published Thursday, August 6, 2026. Heardvine summarizes and quotes with attribution and timestamps, and links to the original everywhere.
Transcribed via Gemini audio transcription · $0.05
Burt and ResNet Marked Early Demands for Specialized Hardware in AI — Heardvine