Skip to content
TrackPodcasts
scienceOct 15, 20255:39pending

Inside Hopper: Memory, Tiling, and the Tensor Core Engine

About this episode

A deep dive into NVIDIA's Hopper GPUs and how they reinvent matrix multiplication. We explore the memory hierarchy from GM/HBM to on-chip SMEM, the role of coalescing, tiling, and the Tensor Core, and how TMA, swizzling, and pipelining keep data flowing to the math units—driving the AI accelerations behind modern transformers.


Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

Sponsored by Embersilk LLC

Get every episode summarized

Each time Intellectually Curious publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

Email me new episodes

Free for 3 shows. No card needed.

Hosts & guests

No transcript yet

This episode has not been transcribed. Request it and it moves to the front of the queue.

Inside Hopper: Memory, Tiling, and the Tensor Core Engine

Intellectually Curious

0:00
5:39

More episodes

More from Intellectually Curious

View all episodes →