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Kubernetes for AI Workloads

Kubernetes has been facilitating container orchestration for around a decade for both stateful and stateless application workloads. With the recent rise of AI and the advent of tools like Kubeflow and Argo Workflows, Kubernetes is also becoming a first-class citizen when it comes to running AI workloads. When you are training a model on K8s, you may be tweaking many parameters and have to test each of them one by one.

#036 - Beyond Kubernetes: A Radical Vision for the Future of Infrastructure with Adam Jacob (Syst...

Adam Jacob, CEO of System Initiative and original author of Chef, discusses the evolution of infrastructure automation and his career-long passion for infrastructure. Jacob reflects on the history and context of Chef, its emergence alongside EC2, and its role in configuration management. He shares insights into the competitive landscape of configuration management tools like Chef, Puppet, and Ansible, and touches upon the transition of Chef to Progress.

The AI Model Showdown - LLaMA 3.3-70B vs. Claude 3.5 Sonnet v2 vs. DeepSeek-R1/V3

Following all the hype and bluster with DeepSeek’s arrival in the AI landscape––and its ability to crash the poster child of AI’s share value overnight (Nvidia), we wanted to conduct a rigorous evaluation at Komodor. We tested DeepSeek’s models head-to-head against industry leaders in solving real-world Kubernetes challenges.

#035 - Beyond Kubernetes: A Veteran of the Container Wars on the Past, Present, and Future of Clo...

This episode of "Kubernetes for Humans" features Dan Ciruli, a Senior Director of Product Management at Nutanix, who shares his journey in tech and his perspective on the evolution of cloud-native technologies. Ciruli discusses his early career as an engineer and his transition to product management, noting that the role was not well-defined in the 1990s. He recounts his experiences with startups, Google, and D2IQ (formerly Mesosphere), highlighting the rise of Docker and projects like Mesos.