Architecture All Access: Artificial Intelligence Part 2 – Hardware

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Published May 6, 2025

Part two is here and Andres Rodriguez, Intel Fellow and AI Architect, continues his explanation of AI, machine learning, neural networks and the important architectural features that make up the hardware that is best suited for AI specific workloads. You can also watch AI Part 1 here: https://youtu.be/ThzqNovB90s

Andres Rodriguez, works in Intel's Data Center and AI Group, on hardware architectures that are optimized to train and deploy AI workloads. The hardware we dive into for AI Part 2 covers CPUs, GPUs, AI Accelerators and FPGAs. Their similarities, differences and trade-offs are explored.

Architecture All Access Season 2 is a master class technology series, featuring Senior Intel Technical Leaders taking an educational approach in explaining the historical impact and future innovations in their technical domains. Here at Intel, our mission is to create world-changing technology that improves the life of every person on earth. If you would like to learn more about AI, Wi-Fi, Ethernet and Neuromorphic Computing, subscribe and hit the bell to get instant notifications of new episodes.

Jump to Chapters:
Chapters:
0:00 Artificial Intelligence Hardware
0:40 Best hardware for neural networks
1:06 Common hardware features for training
1:47 Systolic Arrays
2:14 Memory Hierarchy
2:40 CPUs vs GPUs
3:39 When a CPU is best
4:18 When a GPU is best
5:34 When a dedicated AI Processor is best
5:59 When an FPGA is best
6:38 So which hardware is best for AI?
7:46 Software is imperative
7:58 What's needed for innovation?

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You can also view Architecture All Access Season 1:
https://www.youtube.com/watch?v=vgPFzblBh7w&list=PL8t1FdN2Tj3ZVAzTY-FvsS0qy-mEfRdoj

Architecture All Access: Artificial Intelligence Part 2 – Hardware | Intel Technology
https://www.youtube.com/inteltechnology