In this episode, we talk with Abdel Sghiouar and Mofi Rahman, Developer Advocates at Google and (guest) hosts of the Kubernetes Podcast from Google. Together, we dive into one central question: can you truly run LLMs reliably and at scale on Kubernetes? It quickly becomes clear that LLM workloads behave nothing like traditional web applications: GPUs are scarce, expensive, and difficult to schedule.Models are massive — some reaching 700GB — making load times, storage throughput, and caching ...
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In this episode, we talk with Abdel Sghiouar and Mofi Rahman, Developer Advocates at Google and (guest) hosts of the Kubernetes Podcast from Google. Together, we dive into one central question: can you truly run LLMs reliably and at scale on Kubernetes? It quickly becomes clear that LLM workloads behave nothing like traditional web applications: GPUs are scarce, expensive, and difficult to schedule.Models are massive — some reaching 700GB — making load times, storage throughput, and caching ...
#117 How Policy as Code Is Changing Kubernetes Forever
De Nederlandse Kubernetes Podcast
36 minutes
2 weeks ago
#117 How Policy as Code Is Changing Kubernetes Forever
In this episode of De Nederlandse Kubernetes Podcast, we talk with Jim Bugwadia, founder and CEO of Nirmata, and Shuting Zhao, Staff Engineer and one of the maintainers of Kyverno — the CNCF project for Kubernetes policy management. Jim and Shuting share how Kyverno was born from Nirmata’s commercial work and has since become one of the most widely adopted open source projects in Kubernetes governance, with over 3.4 billion image pulls. We explore the real question: Why does Kubernetes need p...
De Nederlandse Kubernetes Podcast
In this episode, we talk with Abdel Sghiouar and Mofi Rahman, Developer Advocates at Google and (guest) hosts of the Kubernetes Podcast from Google. Together, we dive into one central question: can you truly run LLMs reliably and at scale on Kubernetes? It quickly becomes clear that LLM workloads behave nothing like traditional web applications: GPUs are scarce, expensive, and difficult to schedule.Models are massive — some reaching 700GB — making load times, storage throughput, and caching ...
