LLMOps Under the Hood: Docker Practices for Large Language Model Deployment
이 기사는 대규모 언어 모델(LLM)을 Docker 컨테이너로 배포하고 Kubernetes 클러스터에서 실행하는 방법을 다룹니다. Docker는 재현성과 확장성을 제공하지만, 이미지 부풀어 오름, 콜드 스타트, 드라이버 호환성 문제 등 도전 과제가 있습니다....
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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...
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From 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...
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Coarse Parallel Processing of Work Queues in Kubernetes: Advancing Optimization for Batch Processing
This article explores the concept of coarse parallel processing in Kubernetes, focusing on how to efficiently manage work queues for batch processing. It provides insights into optimizing Kubernetes Jobs...
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GitOps-Backed Agentic Operator for Kubernetes: Safe Auto-Remediation With LLMs and Policy Guardrails
This article introduces a GitOps-backed Agentic Operator for Kubernetes that enables safe auto-remediation using LLMs and policy guardrails. The system analyzes pod failures, generates fixes with LLMs, validates them...
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Networking’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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