Episode

The next stages of AI conformance in the cloud-native, open-source world

Podcast
The New Stack Podcast
Published
Apr 9, 2026
Duration seconds
1500
Processing state
not_requested
Canonical source
https://thenewstack.simplecast.com/episodes/the-next-stages-of-ai-conformance-in-the-cloud-native-open-source-world-8YUCToxP
Audio
https://cdn.simplecast.com/media/audio/transcoded/317e9dbc-9a52-4da7-9725-c4578874b757/5672b58f-7201-4e0e-b0af-da702259d97f/episodes/audio/group/7954b850-2f7f-4b1a-9e79-a04c26b1f9f0/group-item/3cad732c-d126-42cd-b18c-bcffaeb246e8/128_default_tc.mp3?aid=rss_feed&feed=IgzWks06
JSON
/v1/public/podcasts/the-new-stack-podcast-1092634/episodes/the-next-stages-of-ai-conformance-in-the-cloud-native-open-source-world
Markdown
/podcast/the-new-stack-podcast-1092634/the-next-stages-of-ai-conformance-in-the-cloud-native-open-source-world.md

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Summary

Running AI models on Kubernetes has historically been inconsistent, with workloads behaving differently across cloud providers due to variations in GPUs, networking, and autoscaling. As organizations move AI from experimentation to production, standardization has become critical. In this episode of The New Stack Makers, Jonathan Bryce, Executive Director of The Cloud Native Computing Foundation shared that the Foundation’s Kubernetes AI conformance program aims to solve this by ensuring portability, predictability, and production readiness for AI workloads across environments.