#206 Krishna Rangasayee: Why Edge AI is the Next Big Thing in Tech

13 snips

Sep 4, 2024

Krishna Rangasayee, the CEO of SiMa.ai with over 30 years of experience in software and silicon design, discusses the game-changing innovations of Edge AI. He highlights how embedded systems are transforming industries like robotics and automotive. Krishna explains the advantages of SiMa.ai's Machine Learning System on Chip, showcasing its superior performance versus cloud solutions. They explore the future of AI hardware, the promise of neuromorphic computing, and why the edge market could eclipse the cloud in the coming years.

Ask episode

Chapters

Transcript

Episode notes

Intro

00:00 • 3min

Navigating Chip Design: The Importance of Instruction Sets and Ecosystems

02:34 • 3min

Flexibility in Embedded Systems: An Open-Source Approach

05:39 • 2min

The Evolution of Edge Computing and AI Architecture

08:02 • 24min

Navigating Edge AI Challenges

32:08 • 8min

Navigating Chip Venture Fundraising

40:31 • 5min

Forecasting the Future of Specialized Computing Technologies

45:59 • 4min

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.

NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more.

In this episode of the Eye on AI podcast, Craig Smith sits down with Krishna Rangasayee, CEO of SiMa.ai, to explore the innovations in AI at the edge and how embedded systems are transforming industries like robotics, automotive, and industrial automation.

Krishna brings over 30 years of experience in software and silicon design, leading us through SiMa.ai's vision of disrupting edge computing with their Machine Learning System on Chip (MLSoC).

We dive deep into how SiMa.ai’s chips are designed to accelerate AI workloads at the edge, providing unmatched performance and efficiency compared to cloud-based solutions.

We also discuss the future of AI hardware, including the role of open-source platforms, the challenges of scaling AI in embedded systems, and why the edge market is poised to outgrow the cloud in the coming years.

Krishna shares his insights on the importance of AI software architecture, how SiMa.ai’s platform simplifies integration for developers, and the emerging potential of neuromorphic and quantum computing.

Join us as we delve into the next big AI gold rush, the edge market, and learn why AI-powered edge devices will reshape the way industries operate.

Don’t forget to like, subscribe, and hit the notification bell for more exclusive insights into the future of AI and edge computing!

Stay Updated:

Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Preview and Introduction

(02:13) SiMa.ai's Focus on Chip Design for the Edge

(05:38) How is SiMa.ai Different from NVIDIA’s CUDA?

(08:29) The Evolution of Chip Architecture

(11:50) AI’s Move to the Edge Market?

(19:19) Industries Driving Demand for SiMa.ai's Technology

(21:25) How Do Edge Applications Work?

(25:09) Chips Design for Edge Devices

(33:01) SiMa.ai Scaling Plans

(36:12) What is SiMa.ai Focusing On in the Future?

(40:30) SiMa.ai’s Fundraising Journey

(42:57) Hiring and Retaining Top Talent in the Industry

(46:01) The Future of Chip Technology