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 ...
#99 The Hidden Cost of Doing Nothing: Hunting Cloud Zombies
De Nederlandse Kubernetes Podcast
34 minutes
5 months ago
#99 The Hidden Cost of Doing Nothing: Hunting Cloud Zombies
In this episode, we speak with Holly Cummins, Principal Software Engineer at Red Hat, recorded live at KubeCon + CloudNativeCon 2025 in London. With a background in quantum physics and years of experience in enterprise software, Holly has a unique talent for making complex topics easy to understand. We discuss her talk “Zombie Hunting for Kubernetes Users,” where she highlights servers and workloads that quietly consume energy while doing no useful work. Holly explains that waste in our infra...
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 ...
