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Julia Turc· 83.2K subscribers
It’s von Neumann’s fault | GPU · TPU · LPU
Julia Turc· 83.2K subscribers2d ago · en-US audio
In this video, we discuss the core differences between the dominant AI inference chips: NVIDIA GPUs, Google TPUs and Groq LPUs. We cover core concepts including the von Neumann bottleneck, systolic arrays and static scheduling. The video also features snippets from interviews with Jonathan Ross (founder and CEO of Groq, now at NVIDIA) and Abdel Sghiouar (senior developer advocate at Google Cloud). Resources: - TPU…
Julia Turc
AI explainer videos from a former Google Research engineer, now startup founder. Expect American optimism with a solid dose of Eastern European cynicism. Find (free) supplemental materials (slide decks, paper reading lists, Colab notebooks) on Patreon 👉 https://www.patreon.com/c/JuliaTurc
3.2×Score at discovery
121.7KViews
37.6KMedian · 13 videos
Outlier score
This score was measured on Thu, 05 Nov 2026 03:17:56 GMT. Current view counts may differ.
119.7K views ÷ a 37.6K baseline = 3.2×. Compared with 13 earlier videos from the same channel, matching the format recorded at scoring time. Older-upload baseline: reference videos had at least as long to gain views. This comparison is not age-matched.
YouTube snapshot: Thu, 05 Nov 2026 06:12:15 GMT. Counters may have changed.
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