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The importance of flexibility in AI chip desgin
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)
View all episodes
By Siemens Digital Industry Software
5
11 ratings
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)