AI Infra Industry Trends: From Compute Bottlenecks to Ecosystem Evolution
A practitioner’s perspective on AI infrastructure trends: evolving bottlenecks, roles of CPU/GPU/scheduling, ecosystem shifts, and compute demand across training, inference, and Agent workloads.
Kubernetes as the GPU Control Plane for AI
Observations on the evolution of AI infrastructure control planes, focusing on HAMi v2.9, GPU scheduling, and Kubernetes resource models.
KubeCon EU 2026 Day One Observations
KubeCon Europe 2026 Day One: How Kubernetes is adapting to the AI infrastructure wave and the evolution of the GPU resource layer.
From Spatial Data to AI Open Source: Technical Standards, Data Sovereignty, and the Global Divide
How technical standards and data sovereignty shape AI open source paths and infrastructure competition in the global AI era.
Beijing & Shanghai Open Source Plans and AI Infra Open Source Judgement
Beijing and Shanghai’s open source plans reveal opportunities and challenges for China’s AI infrastructure, balancing technology and governance.
AI 2026: Infrastructure, Agents, and the Next Cloud-Native Shift
2026 AI’s turning point: not models, but infrastructure, agentic runtimes, GPU efficiency, and new organizational forms.
What I Saw at COSCon'25: The Real State of Open Source in China
From an engineering and organizer’s perspective, real changes at COSCon'25: AI as the default backdrop, discussions returning to engineering issues, and Chinese open source entering a long-term …
In-Depth Analysis of Ark: Kubernetes for the AI Era or a New Engineering Paradigm Shift?
Analysis of McKinsey’s Ark project: architecture, CRDs, control plane, design paradigms, production readiness, and implications for ArkSphere and AI infrastructure.