Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Introduction
00:00 • 2min
A Brief History of the CEO of Cerebrous
01:31 • 4min
How to Accelerate AI Workflows Using GPUs
05:57 • 4min
Using Distributed Computing to Train Large Models
09:41 • 2min
Cerebras
11:40 • 3min
The Only Thing That's Not Hard About Hard Startups
14:12 • 4min
Scale Clusters Using Memory X Technology
18:29 • 3min
Streaming the Gradients Into the Memory X
21:45 • 3min
Using BERT in Large Language Models to Find Insights
25:04 • 4min
Accelerators and the Challenges You Faced
28:41 • 3min
ML Perf Benchmarks Are Game by the Largest Companies
31:44 • 4min
Nvidia's ML Perf Data Is a Real Challenge
35:15 • 2min
Accelerators - What's Going on in the Venture Ecosystem?
37:06 • 4min
Is There a Hardware Lottery in the AI Space?
40:46 • 4min
Is There a Call Out for Advanced Semiconductor Manufacturing?
44:18 • 3min
Is the Chinese Chips Act a Bailout Act?
47:26 • 3min
How Do You Solve Difficult Problems?
50:53 • 6min