On Chip Cache

topic on 1 show · 1 statements across 1 episodes

Latent Space

1 statements about On Chip Cache, every show

Sohmers: Matrix-vector multiplication in transformer inference is fundamentally uncacheable
“So the second level of this is that matrix vector multiplication is basically uncacheable. When you're doing transformer inference, matrix A is the weights of your model. And so if you're talking about model weights that are tens of gigabytes, hundreds of giga…”
Thomas Sohmers Aug 18, 2025 ▶ 13:33 ⚡️Accelerators @ 3x NVIDIA H200 perf, Made in the USA - Thomas Sohmers + Mitesh Agrawal, Positron AI

← every entity, every show

Made with StarZero

Turn any episode into a week of clips.

This entire site, thousands of episodes across every show transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.