What Comes After the GPU? — Context Window

Listen to full episode:

Summary: In this episode, we dig into the shifts reshaping AI infrastructure: new chip architectures, changing inference workloads, and how tech companies need to adapt as the stack evolves.

Chapters:

00:00 Introduction and episode overview

01:40 Recent developments in SaaS and no-code platforms

04:03 The impact of AI transformation on SaaS companies

06:19 Organizational change and startup pivots in AI era

09:10 Introducing guest Qi Jin and Cerebrus hardware innovations

11:43 Deep dive into Cerebrus chip architecture and inference hardware

16:37 The future of multi-architecture AI hardware systems

22:24 Software strategies for heterogeneous AI hardware

30:05 Hardware constraints, supply chain, and manufacturing challenges

37:45 The evolving landscape of AI hardware and software integration

44:45 Organizational agility and managing change in tech companies

55:18 Closing thoughts and future topics

Sound Bites:

"Inference is becoming the new foundational unit of compute"

"The future of workloads is a multi-architectural world"