The Next Generation of Specialized Chips for AI: Albert Liu, CEO of Kneron

Edge AI involves everything from autonomous cars to drones, and smart doorbells to water filters. But to build AI models into millions of small devices, you need specialized semiconductor chips.

Today's episode is a real dynamite. We discuss the most bleeding-edge chip technology on the market for deploying deep learning models.

My guest is Albert Liu, the Founder and CEO of KNERON, an American-Taiwanese chip design and hardware platform company.


See full blog post here: https://sanpram.com/2021/11/11/ai-semiconductor-chips-kneron

Here's what we discuss:

01:46 — Why we need specialized chips and hardware for edge AI
04:46 — Kneron's current market share, and secret sauce
09:22 — "Reconfigurable" AI chips: what are they and why are they cool?
13:14 — Limitations of chips and how to overcome them
16:38 — How to design world-class AI chips: decisions around performance, power, and more
22:34 — AI chips proven 1000x better than GPUs??!
26:00 — Technical differences between specialized AI chips and GPUs
30:59 — Manufacturing bleeding-edge chips: getting to 7 nanometers and below
34:06 — Money and supply chain: what it costs to start an AI chip company
38:15 — The current global crisis in semiconductor supply chains: what it's really like
41:17 — Why the first 2 years of a chip company incredibly tough
45:49 — The NEXT generation of AI chips, coming soon: going beyond convolutions!