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No one should be manually writing code in 2026, thinks Chris Fregly, Jon Krohn’s guest on this week’s episode. In this interview about Chris’ latest book, AI Systems Performance Engineering, he explains why it’s so important to consider memory bandwidth when evaluating GPU performance, that understanding the full hardware software stack is the most valuable skill for anyone working in AI development, and which shortcuts we still shouldn’t ever take when writing code, even though we might be outsourcing a great deal to generative AI.
This episode is brought to you by the Cisco, by Acceldata and by ODSC, the Open Data Science Conference.
Additional materials: www.superdatascience.com/973
Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
In this episode you will learn:
By Jon Krohn4.6
295295 ratings
No one should be manually writing code in 2026, thinks Chris Fregly, Jon Krohn’s guest on this week’s episode. In this interview about Chris’ latest book, AI Systems Performance Engineering, he explains why it’s so important to consider memory bandwidth when evaluating GPU performance, that understanding the full hardware software stack is the most valuable skill for anyone working in AI development, and which shortcuts we still shouldn’t ever take when writing code, even though we might be outsourcing a great deal to generative AI.
This episode is brought to you by the Cisco, by Acceldata and by ODSC, the Open Data Science Conference.
Additional materials: www.superdatascience.com/973
Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
In this episode you will learn:

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