The Kubernetes for AI Paradigm
Native K8s orchestration is evolving to handle GPU scheduling, checkpointing, and live migration at the scale that AI demands.
From the Front Lines of Tech
Sharing strategic insights and lessons from over 20 years of building scalable systems, leading high-performing teams, and navigating complex technology shifts.
Benchmarking Edge Silicon: NPU vs GPU Inference
NPUs promise efficient edge LLM inference, but how do they actually compare to discrete GPUs under real production workloads?
· StrategyThe True Cost of Agentic Workflows
Hidden compute and API costs accumulate fast when deploying autonomous agent loops in production. A candid look at the real economics of agentic workloads.
Inference Cost Architecture: The Hidden Economics of Token Routing
Inference cost architecture: how smart model routing between frontier and distilled models creates real margin at scale. Unit economics, production examples, and the infrastructure decisions that determine profitability.
· StrategyCloudflare Crawl Budget: Monetizing AI-Driven Bot Traffic
Cloudflare crawl budget monetization: strategic analysis of how AI crawlers consume crawl budgets, the emerging monetization models, and what website operators need to know about AI-driven bot traffic in 2026.
Agent Correctness in Production: Moving Beyond Text Hallucination
Agent correctness in production: when text hallucinations are only half the problem. Structural errors, semantic drift, and the production monitoring gaps that kill autonomous agent systems.