Semiconductor Engineering: Automotive AI Hardware: A New Breed

by Madelyn Miller, On Jun 04, 2021

Kurt Shuler, Vice President of Marketing at Arteris IP authored this new article in Semiconductor Engineering:

Automotive AI Hardware: A New Breed

June 3rd, 2021 – By Kurt Shuler

What sets automotive apart from the conventional wisdom on AI hardware markets.

 

Arteris IP functional safety manager Stefano Lorenzini recently presented “Automotive Systems-on-Chip (SoCs) with AI/ML and Functional Safety” at the Linley Processor Conference. A main point of the presentation was that conventional wisdom on AI hardware markets is binary. There’s AI in the cloud: Big, power-hungry, general-purpose. And there’s AI at the edge: Small, low power, limited application-specific features. Automotive AI doesn’t really fit into either category. To power ADAS and autonomous driving functions, these chips are extremely application-specific and require more performance than typical edge AI, are low power but not as low as IoT chips at the edge, and must be as low cost as possible. They also add a new angle – low latency because safety demands fast and deterministic response times. Add to all that the functional safety requirements demanded by ISO 26262 – inside the AI structure as much as everywhere else. Bottom line: Automotive AI SoC architectures are unique beasts.

To read the entire SemiEngineering article, please click here: https://semiengineering.com/tag/heterogenous-socs/

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