GPU HBM

topic on 2 shows · 2 statements across 2 episodes

the Y Combinator Startup Podcast Latent Space

2 statements about GPU HBM, every show

Stuart: Multi-GPU optimization requires overlapping compute with remote memory prefetching
“For multi-GPU kernels a simple, a similar idea applies, except that you're overlapping computation with communication with other GPUs, such that when the current computation is done, the data for next computation is ready and fetched from remote GPU HPMs.”
Stuart (Stu) Jul 29, 2026 ▶ 14:02 Multi-GPU Kernels, Intelligence per Watt, Heterogeneous Inference, and More | YC Paper Club · Y Combinator
LATENT SPACE Assertion Partly supported
Biderman: Processing a Wikipedia article in Llama 70B consumes 80GB HBM
“If you take a Lama, a 70 B model, and you load one article from Wikipedia, which is a few tens of kilobytes, and you have the model read this The brain state of the model when reading this few tens of kilobytes is like, 80 gigabytes. 80 gigabytes on, on the HB…”
Dan Biderman Jul 13, 2026 ▶ 22:39 The AI Memory Problem: Why Long Context Isn’t Enough — Dan Biderman, Engram Co-founder & CEO

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