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Training Machine Learning (ML) models on Kubernetes
Manage episode 421319868 series 3332465
Content provided by Kubernetes Bytes, Ryan Wallner, and Bhavin Shah. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kubernetes Bytes, Ryan Wallner, and Bhavin Shah 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://podcastplayer.com/legal.
In this episode of the Kubernetes Bytes podcast, Bhavin sits down with Bernie Wu, VP Strategic Partnerships and AI/CXL/Kubernetes Initiatives at Memverge. They discuss about how Kubernetes is the most popular platform to run AI model training and model inferencing jobs. The discussion dives into model training, talking about different phases of a DAG, and then talk about how Memverge can help users with efficient and cost-effective model checkpoints. The discussion goes into topics like saving costs by using spot instances, hot restart of training jobs, reclaiming unused GPU resources, etc.
Check out our website at https://kubernetesbytes.com/
Episode Sponsor: Nethopper
- Learn more about KAOPS: @nethopper.io
- For a supported-demo: [email protected]
- Try the free version of KAOPS now! https://mynethopper.com/auth
Cloud Native News:
- https://www.aquasec.com/blog/linguistic-lumberjack-understanding-cve-2024-4323-in-fluent-bit/
- https://kubernetes.io/blog/2024/05/20/completing-cloud-provider-migration/
- https://thenewstack.io/introducing-aks-automatic-managed-kubernetes-for-developers/
- https://www.harness.io/blog/harness-to-acquire-split
Show Links:
- https://www.linkedin.com/in/berniewu/
- https://criu.org/Main_Page
- https://memverge.com/
- https://youtu.be/tY8YOMRuqWI?si=yB3hHqLUpYPZ-KWN
- https://youtu.be/ND4seSKpJHI?si=shh0iuA9qC-dO6eb
Timestamps:
88 episodes
Share
Manage episode 421319868 series 3332465
Content provided by Kubernetes Bytes, Ryan Wallner, and Bhavin Shah. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kubernetes Bytes, Ryan Wallner, and Bhavin Shah 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://podcastplayer.com/legal.
In this episode of the Kubernetes Bytes podcast, Bhavin sits down with Bernie Wu, VP Strategic Partnerships and AI/CXL/Kubernetes Initiatives at Memverge. They discuss about how Kubernetes is the most popular platform to run AI model training and model inferencing jobs. The discussion dives into model training, talking about different phases of a DAG, and then talk about how Memverge can help users with efficient and cost-effective model checkpoints. The discussion goes into topics like saving costs by using spot instances, hot restart of training jobs, reclaiming unused GPU resources, etc.
Check out our website at https://kubernetesbytes.com/
Episode Sponsor: Nethopper
- Learn more about KAOPS: @nethopper.io
- For a supported-demo: [email protected]
- Try the free version of KAOPS now! https://mynethopper.com/auth
Cloud Native News:
- https://www.aquasec.com/blog/linguistic-lumberjack-understanding-cve-2024-4323-in-fluent-bit/
- https://kubernetes.io/blog/2024/05/20/completing-cloud-provider-migration/
- https://thenewstack.io/introducing-aks-automatic-managed-kubernetes-for-developers/
- https://www.harness.io/blog/harness-to-acquire-split
Show Links:
- https://www.linkedin.com/in/berniewu/
- https://criu.org/Main_Page
- https://memverge.com/
- https://youtu.be/tY8YOMRuqWI?si=yB3hHqLUpYPZ-KWN
- https://youtu.be/ND4seSKpJHI?si=shh0iuA9qC-dO6eb
Timestamps:
88 episodes
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Similar to Kubernetes Bytes
Africa-focused technology, digital and innovation ecosystem insight and commentary.
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continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
…
continue reading
Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
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continue reading
Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Rae Johnston and guests take a fun, deep dive into how technology is reshaping our lives.
…
continue reading
The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
…
continue reading
When it comes to technology, you may have questions. So do we. Every other week, we demystify the tech industry, one answer at a time. Join us as we bring together a chorus of perspectives from within Red Hat to break down the big, emerging ideas that matter both today and beyond. Compiler is hosted by Angela Andrews and Brent Simoneaux. Learn more about our show at redhat.com/en/compiler-podcast
…
continue reading
Redefining AI is the 2024 New York Digital Award winning tech podcast! Discover a whole new take on Artificial Intelligence in joining host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and ...
…
continue reading
We help founders make something people want.
…
continue reading
On The Bike Shed, hosts Joël Quenneville and Stephanie Minn discuss development experiences and challenges at thoughtbot with Ruby, Rails, JavaScript, and whatever else is drawing their attention, admiration, or ire this week.
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continue reading
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