0:00 - Intro
5:10 - What does it mean to make hardware for AI?
8:20 - Why were GPUs so successful?
16:25 - What is "dark silicon"?
20:00 - Beyond GPUs: How can we get even faster AI compute?
28:00 - A look at today's accelerator landscape
30:00 - Systolic Arrays and VLIW
35:30 - Reconfigurable dataflow hardware
40:50 - The failure of Wave Computing
42:30 - What is near-memory compute?
46:50 - Optical and Neuromorphic Computing
49:50 - Hardware as enabler and limiter
55:20 - Everything old is new again
1:00:00 - Where to go to dive deeper?