NVIDIA GPU Operator Explained: Simplifying GPU Workloads on Kubernetes
The NVIDIA GPU Operator streamlines GPU integration into Kubernetes clusters by automating deployment and management tasks. It handles critical components like host drivers, container toolkits, and Kubernetes device plugins...
Read moreBuilding Smarter Systems: Architecting AI Agents for Real-World Tasks
This article explores how event-driven agents can replace AI models in creating scalable, reactive systems for real-world tasks. The author, Vinod Veeramachaneni, explains how rule-based architectures enable automation, resilience,...
Read moreFrom Agent AI to Agentic AI: Building Self-Healing Kubernetes Clusters That Learn
This tutorial explores the evolution from reactive Agent AI to autonomous Agentic AI systems for Kubernetes clusters. Author Shamsher Khan demonstrates how self-healing systems can learn from past fixes...
Read moreAI SDLC Transformation, Part 1: Where to Start?
This article explores the challenges and strategies for integrating AI into the software delivery lifecycle. It emphasizes the importance of clarity and categorization when adopting AI in SDLC processes....
Read moreNetworking’s Open Source Era Is Just Getting Started
Networking is entering an open source era, driven by technologies like eBPF and Cilium, which are transforming traditional, standards-driven protocols into agile, programmable infrastructure. This shift is essential as...
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