#509: GPU Programming in Pure Python

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 11 June 2025

⏱️ 57 minutes

🔗️ Recording | iTunes | RSS

🧾️ Download transcript

Summary

If you're looking to leverage the insane power of modern GPUs for data science and ML, you might think you'll need to use some low-level programming language such as C++. But the folks over at NVIDIA have been hard at work building Python SDKs which provide nearly native level of performance when doing Pythonic GPU programming. Bryce Adelstein Lelbach is here to tell us about programming your GPU in pure Python.

Transcript

Click on a timestamp to play from that location

0:00.0	If you're looking to leverage the insane power of modern GPUs for data science and machine learning,
0:05.0	you might think you'll need to use some low-level programming language, such as C++.
0:09.7	But the folks over at Nvidia have been hard at work building Python SDKs,
0:14.0	which provide near-native level of performance when doing Pythonic GPU programming.
0:20.0	Bryce Adelstein-Lelbach is here to tell us about programming your GPU in pure Python.
0:26.0	This is Talk Python to Me.
0:27.5	Episode 509 recorded May 13th, 2025.
0:32.3	Are you ready for your host?
0:34.5	You're listening to Michael Kennedy on Talk Python to Me.
0:38.2	Life from Portland, Oregon, and this segment was made with Python.
0:44.2	Welcome to Talk Python to Me, a weekly podcast on Python.
0:48.0	This is your host, Michael Kennedy.
0:50.1	Follow me on Macedon, where I'm at M. Kennedy, and follow the podcast using at TalkPython,
0:55.3	both accounts over at Fostodon.org, and keep up with the show and listen to over nine years of
1:01.1	episodes at TalkPython.fm. If you want to be part of our live episodes, you can find the
1:06.3	live streams over on YouTube, subscribe to our YouTube channel over at TalkPython.fm slash YouTube and get
1:12.2	notified about upcoming shows. This episode is sponsored by Posit Connect from the makers of Shiny.
1:18.9	Publish, share, and deploy all of your data projects that you're creating using Python. Streamlet,
1:24.0	Dash, Shiny, Boca, Fast API, Flask, Quarto, reports, dashboards, and APIs.
1:30.3	Posit Connect supports all of them.
1:32.2	Try Posit Connect for free by going to talk python.fm slash posit, POSIT.
1:38.2	And it's brought to you by agency.
	...

Please login to see the full transcript.

Previous episode | Next episode

Disclaimer: The podcast and artwork embedded on this page are from Michael Kennedy, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of Michael Kennedy and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.