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Inference in Action: Scaling Al Smarter with Inferless

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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://ro.player.fm/legal.

In this episode, we sit down with Nilesh Agarwal, co-founder of Inferless, a platform designed to streamline serverless GPU inference. We’ll cover the evolving landscape of model deployment, explore open-source tools like KServe and Knative, and discuss how Inferless solves common bottlenecks, such as cold starts and scaling issues. We also take a closer look at real-world examples like CleanLab, who saved 90% on GPU costs using Inferless.

Whether you’re a developer, DevOps engineer, or tech enthusiast curious about the latest in AI infrastructure, this podcast offers insights into Kubernetes-based model deployment, efficient updates, and the future of serverless ML. Tune in to hear Nilesh's journey from Amazon to founding Inferless and how his platform is transforming the way companies deploy machine learning models.

Subscribe now for more episodes!
Show Links:

Inferless LInks:

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88 episoade

Artwork
iconDistribuie
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on March 03, 2025 17:11 (10M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 446638123 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://ro.player.fm/legal.

In this episode, we sit down with Nilesh Agarwal, co-founder of Inferless, a platform designed to streamline serverless GPU inference. We’ll cover the evolving landscape of model deployment, explore open-source tools like KServe and Knative, and discuss how Inferless solves common bottlenecks, such as cold starts and scaling issues. We also take a closer look at real-world examples like CleanLab, who saved 90% on GPU costs using Inferless.

Whether you’re a developer, DevOps engineer, or tech enthusiast curious about the latest in AI infrastructure, this podcast offers insights into Kubernetes-based model deployment, efficient updates, and the future of serverless ML. Tune in to hear Nilesh's journey from Amazon to founding Inferless and how his platform is transforming the way companies deploy machine learning models.

Subscribe now for more episodes!
Show Links:

Inferless LInks:

  continue reading

88 episoade

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