A GPU Workshop and Cloud Native's Developer Experience Gap
Notes from ContainerDays Singapore 2026.
GPU
From Zero to Shared GPUs: Hands-on GPU Scheduling in Kubernetes with HAMi
A 45-minute hands-on workshop at ContainerDays 2026 Singapore. Install HAMi on a kind cluster with two fake A100s, share one GPU across Pods, steer binpack and spread scheduler …
Why We Still Need GPU Partitioning
Bigger models make GPU partitioning matter more.
Why GPU Is the Foundation of AI
A GPU explainer for Kubernetes veterans new to AI. Maps token, model, training, inference, Transformer, Tensor Core, HBM, and KV cache to concepts you already know.
GPU Utilization Is Breaking
From GPU utilization to productive GPU-hours.
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.
Token Is More Than a Billing Unit, It's Becoming the Resource Unit of the AI Era
The Linux Foundation’s Tokenomics Foundation signals a shift: tokens are becoming a core resource in the AI era, much like CPUs in the cloud era.
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, …
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.