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HBO and The Ringer's Bill Simmons hosts the most downloaded sports podcast of all time, with a rotating crew of celebrities, athletes, and media staples, as well as mainstays like Cousin Sal, Joe House, and a slew of other friends and family members who always happen to be suspiciously available.
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GPUs obviously do tons of work. You see it every time you play a graphics intensive game. You know how crypto-miners are using them. You’ve heard AI companies using them for model building. You’ve got this hardware in your machine! Can you use it? Should you use it? Where even to start?
GPUs can help if your problems, data, systems, languages, and architecture align. GPU-based solutions won’t help everyone … but when they do help, oh boy do they really help.
Takeaways
Platform recommendations:
- NVIDIA: Richest ecosystem, start here if you have choice
- AMD: Improving rapidly, good for PyTorch workflows
- Apple Silicon: Excellent for unified memory workloads
Language recommendations:
- Python for quickest wins
- Rust/C++ for maximum control
- JavaScript for web applications
Links
Dave Farley explains what's wrong with Vibe coding https://youtu.be/1A6uPztchXk?si=mzEg4mpbTIjaihnP
How do graphics cards work https://youtu.be/h9Z4oGN89MU?si=JRrumRPfYU6a0A02
Hosts:
Jim McQuillan can be reached at [email protected]
Wolf can be reached at [email protected]
Follow us on Mastodon: @[email protected]
If you have feedback for us, please send it to [email protected]
Checkout our webpage at http://RuntimeArguments.fm
Theme music:
Dawn by nuer self, from the album Digital Sky
13 episodes
