Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - 720
Today, we're joined by Ron Diamant, chief architect for Trainium at Amazon Web Services, to discuss hardware acceleration for generative AI and the design and role of the recently released Trainium2 chip. We explore the architectural differences between Trainium and GPUs, highlighting its systolic array-based compute design, and how it balances performance across key dimensions like compute, memory bandwidth, memory capacity, and network bandwidth. We also discuss the Trainium tooling ecosystem including the Neuron SDK, Neuron Compiler, and Neuron Kernel Interface (NKI). We also dig into the v…
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Chapters (12)
Introduction
4:45
Current landscape for chip workloads
8:31
Design considerations in chip architecture
13:45
Kernels
15:44
Trainium architecture vs GPU architecture
18:27
User awareness of architectural differences
20:47
Neuron Kernel Interface (NKI)
21:44
CUDA vs NKI for Trainium2
25:06
CUDA in 2025
29:25
User base of Trainium and Trainium2
33:03
Trainium2 chip
36:14
Trn2 instances, U
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