What Makes an AI Platform Truly Kubernetes-Native?
Discover what defines a truly Kubernetes-native AI platform, key criteria for conformance, and how standardization drives interoperability and growth in cloud-native AI infrastructure.
AI
KAITO and KubeFleet: CNCF Is Reshaping AI Inference Infrastructure
CNCF is standardizing AI inference infrastructure for scalable deployment in multi-cluster Kubernetes environments through KAITO and KubeFleet.
Building Efficient LLM Inference with the Cloud Native Quartet: KServe, vLLM, llm-d, and WG Serving
Essential reading for cloud native and AI-native architects: how KServe, vLLM, llm-d, and WG Serving form the cloud native ‘quartet’ for large model inference, their roles, synergy, and ecosystem trends.
The Natural Fit Between AI Inference and Kubernetes
Explore why Kubernetes is the ideal runtime for AI inference — delivering elastic, cost-efficient, low-latency model serving with GPU-aware autoscaling, versioning, and observability.
Jevons and Baumol Effects in the Age of AI
In the AI era, why are materials like glass getting cheaper, but installation and labor costs keep rising? The answer lies in the interplay of Jevons Paradox and the Baumol Effect.
GitHub Copilot CLI Custom Agents Practice
Learn how to build custom AI assistants with GitHub Copilot CLI Agents to automate tasks, optimize workflows, and boost productivity in your command-line environment.
From Kubernetes to Qwen: How "Open Source" Has Changed in the AI Era
Exploring the transformation of open source in the AI era, from Kubernetes to Qwen, and revealing the fundamental differences and new opportunities in open source strategies between China and the US.
Solaris: The Ocean of Consciousness and the Metaphor of AI Agents
Explore Tarkovsky’s ‘Solaris’ (1972) as a profound meditation on consciousness, memory, and AI, revealing the spiritual dilemmas of human and artificial intelligence.
YAML to Markdown: Exploring Specification Driven Development and AI-Native Paradigms
Exploring the evolution from YAML to Markdown, revealing how specification-driven development in the AI-native era reshapes the behavior and collaboration of intelligent agents.