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Ubuntu AI | S2E3 | GPU utilisation optimisation at KubeconEU 2024

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Manage episode 406094182 series 3522664
Content provided by Canonical. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Canonical or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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Maciej is not only the host of our podcast, but also an experienced keynote speaker. After a joint keynote at KubeconEU 2023 about highly sensitive data, in 2024, Maciej goes to Paris to talk about the GPU utilisation. During our podcast, we cover a lot of aspects of GPU utilisation. From best practices to existing tooling, there are different angles that Maciej talk about, giving a sneak-peak into his keynote. Are you curious how open source tooling plays a role in optimising the GPU utilisation? Listen to our podcast!

Learn more about our solutions here: https://ubuntu.com/ai

  continue reading

19 episodes

Artwork
iconShare
 
Manage episode 406094182 series 3522664
Content provided by Canonical. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Canonical or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Send us a text

Maciej is not only the host of our podcast, but also an experienced keynote speaker. After a joint keynote at KubeconEU 2023 about highly sensitive data, in 2024, Maciej goes to Paris to talk about the GPU utilisation. During our podcast, we cover a lot of aspects of GPU utilisation. From best practices to existing tooling, there are different angles that Maciej talk about, giving a sneak-peak into his keynote. Are you curious how open source tooling plays a role in optimising the GPU utilisation? Listen to our podcast!

Learn more about our solutions here: https://ubuntu.com/ai

  continue reading

19 episodes

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