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AI & Tools desk — breakout report

How AI Models Scale Beyond a Single GPU Across LLM Workloads

IBM Technology's upload has reached 114K views — about 4.6× the ≈24.7K this channel typically draws at the same age.

Key facts

  • •4.6x IBM Technology's own 90-day median — this channel normally draws about 24.7K views at the same age.
  • •114K views so far, published 14 days ago.
  • •Category: Education · Language: en · Quality: HD · Captions: yes
  • •"Breakout" is measured against this exact channel's trailing 90-day median at matching video age — not a generic niche average.

Updated 2026-10-06 17:10 UTC

Video thumbnail: How AI Models Scale Beyond a Single GPU Across LLM Workloads
Watch on YouTube ↗ · IBM Technology · 1.8M subscribers

View trajectory

Views this upload has gathered since it published, last measured about 168h in — from our own tracking.

0h 7d after publish 114K views

Published Oct 6, 2026 · 14 days ago. How breakouts are measured →

From the creator

Learn more about AI Models here → https://ibm.biz/~GnXROtDog The biggest AI models can't fit on one GPU. Grace Ableidinger explains how distributed AI inference scales LLMs across GPUs using data, pipeline, tensor, and expert parallelism. Learn how KV cache, throughput, and prefill/decode bottlenecks shape production…

Category: Education · Language: en · Quality: HD · Captions: yes

Topics: Knowledge · Technology

Tags: IBM

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