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 ...
#104 From Cloud Native to AI Native: Are We Ready for the Next Wave?
De Nederlandse Kubernetes Podcast
29 minutes
3 months ago
#104 From Cloud Native to AI Native: Are We Ready for the Next Wave?
📍 De derde aflevering uit de speciale reeks van onze 100e aflevering livestream In this episode, we welcome back Pini Reznik, CEO of Re-Cinq. While our previous conversation focused on sustainability, this time we dive deep into the accelerating shift toward AI-native transformations. Pini reflects on why “sustainability as a business model” currently isn’t sustainable. Despite good intentions and regulatory momentum, most companies simply aren’t willing to pay for it. The real path forward?...
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 ...
