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& AI Infrastructure
Intelligence for engineers building and operating AI infrastructure at scale. LLMOps, FinOps, Kubernetes, and the tools that keep production AI running.
Deep Technical Guides
Benchmarks run on real infrastructure. Config files you can copy-paste. No vendor fluff.
Cost Optimization Playbooks
Datadog to Grafana migrations. GPU budget triage. Reserved instance strategy. Real savings.
Production Incident Frameworks
Postmortem templates for AI failures. Runbooks your on-call team will actually use.
Latest Articles
View all →AI Agent Security Posture 2026: A Practitioner's Framework
Agent security posture is not a CSPM problem. SBOM-grade agent identity, prompt supply chain, isolation primitives, and the four controls every fleet needs.
Agent Evidence Packet Analytics 2026: The Audit Trail
EU AI Act Article 12 compliance: the 5-tuple evidence-packet schema, Sigstore Rekor for agent decisions, the Codex encryption crisis, and the replay path.
Mesh Inference on iroh: GPUs in Three Offices and a Closet
Mesh LLM turns scattered GPUs into one OpenAI-compatible API. Skippy split-mode layer-pipeline inference behind localhost:9337/v1 — and the OTel gap.
OpenAI Just Made Your Agent a Black Box (and What to Do)
OpenAI's Codex multi-agent-v2 encrypts the parent→subagent payload (July 14, 2026). The agent-side OTel proxy at the world-state flag keeps your plaintext copy.
Custom AI Silicon 2026: Meta MTIA, Trainium2, TPU, Maia
Meta MTIA 300/450/Iris, AWS Trainium2/Inferentia2, Google TPU v5e/v6, Microsoft Maia 100 vs NVIDIA H100/B100 — vendor-neutral, dollar-per-token.
Per-Engineer AI Observability 2026: Beat Reflection
OTel + LangSmith + ClickHouse reference schema for per-engineer Claude observability — session cost, four-signal dashboard, 1/3/6/12-month retention.
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Weekly intelligence on LLMOps, FinOps, and AI infrastructure. No fluff, no vendor pitches. Written by practitioners, for practitioners.