Episode #104

Dylan Patel — Deep dive on the 3 big bottlenecks to scaling AI compute

Plus, why an H100 is worth more today than 3 years ago

What this episode covers

Plus, why an H100 is worth more today than 3 years ago

Where to start
People and topics
Key takeaways
  • Why an H100 is worth more today than 3 years ago
  • Nvidia secured TSMC allocation early; Google is getting squeezed
  • ASML will be the #1 constraint for AI compute scaling by 2030
  • Can't we just use TSMC's older fabs?
  • When will China outscale the West in semis?
All moments
Dylan Patel — Deep dive on the 3 big bottlenecks to scaling AI compute podcast chapters, timestamps & summary | EpisodeIndex