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 ...
All content for De Nederlandse Kubernetes Podcast is the property of Ronald Kers en Jan Stomphorst and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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 ...
#111 Beyond Orchestration: CNCF’s Past, Present and Future
De Nederlandse Kubernetes Podcast
27 minutes
2 months ago
#111 Beyond Orchestration: CNCF’s Past, Present and Future
In this 11th episode of the 100th-episode series, we speak with Chris Aniszczyk, CTO at the Cloud Native Computing Foundation and the Linux Foundation. He reflects on ten years of CNCF and explains how the community has continually adapted to the needs of its users: from the arrival of Prometheus and containerd, to GitOps tools like Flux and Argo, and the rise of OpenTelemetry as the standard for observability. Chris explains that Kubernetes is much more than just a container orchestrator. T...
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 ...
