Chris Fregly spent $6000 at Starbucks writing a 1000-page book Nvidia's own docs couldn't provide. In today's episode, the three-time bestselling author reveals all, updating everything you know about engineering A.I. systems.
More on Chris if you don't know him already:
Long-time A.I. systems performance specialist at Amazon Web Services (AWS), where he, for example, pioneered the design and launch of SageMaker and Bedrock.
Was Chief Product Officer at PipelineAI (acquired by AWS).
Previously held Principal Engineer roles at Databricks and Netflix (earning him an Emmy)!
Was an investor/advisor in xAI (acquired by SpaceX) and Groq (acquired by NVIDIA).
Three-time author of O'Reilly books.
His latest book, "A.I. Systems Performance Engineering" is a thousand-page tome that was published in December and has received rave reviews so far.
Today's episode will appeal primarily to hands-on A.I. practitioners like A.I. engineers, data scientists and software developers. You'll learn a ton about GPUs and getting the best performance from them!
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.