From GPU to Token: The 8-Layer Observability Stack for AI Infrastructure
From GPU hardware, Kubernetes scheduling, inference engines to token cost — understanding the 8-layer observability architecture for modern AI infrastructure.
HAMi
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, …
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.
HAMi Website Redesign Overview
A systematic upgrade to HAMi’s website and docs, improving community visibility, content structure, search, and usability.
My First Month at Dynamia: Why AI Native Infra Is Worth It
Observations from my first month at Dynamia: From cloud native to AI Native Infra, why this direction is worth investing in, and the key issues and opportunities in compute …