ai-infrastructure

Covering the systems layer beneath AI applications: compute provisioning, inference serving, model routing, and the tradeoffs between hosted APIs and local deployment. Content here digs into how teams build pipelines that match each task to the cheapest capable model, manage GPU and memory constraints, and keep latency and cost predictable at scale. Expect practical takes on architecture decisions, serving stacks, and the shift toward small specialized models running closer to the edge.

Sunlit home office with a glowing GPU workstation running local AI on a wooden desk.

local-ai-inference, small-language-models, llm-cost-optimization, diffusion-language-models, ai-infrastructure

The AI Golden Age Has Passed, Welcome to the AI Golden Age

The first AI golden age was built on renting frontier model compute by the token. The second is built on local inference, small specialized models, and routing architecture that puts the right task on the cheapest capable model.