The importance of flexibility in AI chip design
AI is not a one size fits all solution for approaching industrial problems, rather, it’s important to tailor different models to different applications to ensure the best results no matter the use case. Equally so, the chips that run these AI models should not be one size fits all either, with highly customized chips offering far better performance and efficiency when it comes to accelerating AI in everything from a datacenter to a smart camera.
In this episode, host Spencer Acain is joined by Russell Klein, program director at Siemens EDA and a member of the Catapult HLS team, examines the needs of AI hardware through highly customized chip designs and how, through innovative applications, AI itself can increase the flexibility of the chip design process in novel ways.
In this episode you will learn:
- How AI is increasing the flexibility of the chip design process (1:26)
- The importance of custom chips for AI use cases (11:57)
Russell Klein
Program Director at Siemens EDA and part of the Catapult HLS team
Spencer Acain
Technical Writer for Global Marketing at Siemens Digital Industries Software
AI Spectrum
This podcast features discussions around the importance of AI and ML in today’s industrial world.
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