Astana time
AI QAZAQSTANKZ · AIBeta

Smart portal about artificial intelligence and high technology in Kazakhstan

Knowledge base1 min read

From the original source:

YouTube — IBM Technology AI

Read full article at YouTube — IBM Technology AI

This material was compiled from public sources. If its publication affects your rights → Request removal

The AI Memory Wall: Why LLMs & AI Accelerators Hit a Bottleneck

Hello everyone, over the past two decades, the compute capabilities of single chips have grown about 6,000 times. You would expect that workloads would be six times as fast, but this is not the case. Often engineers, when they profile their workloads, they don't see much…

YouTube — IBM Technology AIBy: IBM TechnologyOctober 19, 2026 (yesterday)
Available in 4 languages

AI Summary & Key Takeaways

  • Hello everyone, over the past two decades, the compute capabilities of single chips have grown about 6,000 times
  • You would expect that workloads would be six times as fast, but this is not the case
  • Often engineers, when they profile their workloads, they don't see much…
Share:

Related stories

Learn to build to better AI Agents through better Context

Learn to build to better AI Agents through better Context

Learn More: https://bit.ly/4yy5iWP The longer an agent works, the more repeated, contradictory, or stale information builds up in its context. Models perform worse as their context grows, a problem Jeff Huber and his team at Chroma named Context Rot. In our new course, Context…

YouTube — DeepLearning.AI

Back to list