A Specialized Approach to Hardware
End users who are not schooled in hardware can often default to, “just give me something that works.” David Liu, Staff AI Engineer, Strategy & Vision for Data Science and AI Products at Intel, understands this thinking but also believes that end users can be educated on the advantages of configuring their computer hardware to suit their specific needs.
David advocates for using the right hardware for a given task—and that may mean different configurations and/or different machines for different tasks, rather than a one-size-fits-all solution.
David and host Peter Wang also discuss:
- The need for more education and resources around hardware performance
- Intel’s Optane technology and the possibilities it creates
Click here to visit David’s YouTube channel.
You can find a human-verified transcript of this episode here.
If you enjoyed today’s show, please leave a 5-star review. For more information, visit anaconda.com/podcast.
You Might Also Be Interested In
Talk to an Expert
Talk to one of our financial services and banking industry experts to find solutions for your AI journey.