In this episode, we caught up with Abdel Sghiouar, a Developer Advocate at Google and the co-host of The Kubernetes Podcast. Abdel shared the latest developments in Kubernetes and AI applications, highlighting the unique challenges of running machine learning models on Kubernetes, particularly focusing on scalability and the context window in large language models. We also discussed the importance of working groups in overcoming these challenges and emerging concerns in AI security.
00:00 Introduction and Welcome Back
00:20 Abdel's Role and Podcast
00:36 Kubernetes and Cloud Native Space
01:14 AI and MLOps Discussion
02:20 Challenges with Large Language Models
04:48 Kubernetes Working Groups
05:55 Security Concerns in MLOps
09:48 Exploring Solutions and Community Interaction
18:23 Conclusion 
 
Guest:




Abdel Sghiouar is a Cloud Developer Advocate @Google Cloud. His focus areas are GKE/Kubernetes, Service Mesh and Serverless. Abdel started his career in datacenters and infrastructure in Morocco before moving to Google's largest EU datacenter in Belgium. Then in Sweden he joined Google Cloud Professional Services and spent 5 years working with Google Cloud customers on architecting and designing large scale distributed systems before turning to advocacy and community work. You can follow him at @boredabdel.

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