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systems

2 people · 3 quotes · 13 Oct 2024 to 3 Oct 2025

Who is on this subjectordered by the date of their first quote here

2 of 2 lanes rest on fewer than 5 quotes and are marked thin. Offsets are days from the middle first-quote date, 13 Oct 2024 — a date, and nothing else. It is not a claim about who reached a view first.

The chronologysourced and dated, oldest first

    1. Bill Gurley

      Gurley explains NVIDIA's networking, NVLink, and CUDA advantages emerge specifically in the largest system deployments.

      “That's when the networking piece thrives. That's where NVLink thrives. That's where CUDA really comes alive in the biggest systems that are out there.”

      13 Oct 2024 · BG2 Pod · 15:45 · source · permalink
    2. Dylan Patel

      Patel explains o1's thinking time creates memory bandwidth issues that prevent batching users at high levels.

      “But if you batch higher, k b cache is not just a memory capacity issue, it's also a memory bandwidth issue.”

      12 Nov 2024 · Scaling Intelligence · 49:16 · source · permalink
    1. Dylan Patel

      Patel explains GB200's 72-GPU configuration creates reliability challenges compared to 8-GPU systems due to higher failure probability.

      “If the reliability of each GPU is the same, then when a single GPU fails in 72 GPUs, you have a much higher chance of something failing, right?”

      3 Oct 2025 · Together AI · 12:40 · source · permalink

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