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7 itemsHow I evolved a small AMD GPU cluster into a CRD-driven inference platform with an OpenAI-compatible boundary, evidence-based model promotion, and safe rollouts.
- SLOs for Inference: Latency, Errors, SaturationDec 29, 2025 · 5 min
How I define request, cold-start, queue, and model-quality objectives for an inference service without confusing causes with user outcomes.
- GPU Failure Modes: What Breaks and How to Debug ItDec 29, 2025 · 5 min
A cross-vendor incident workflow for separating GPU scheduling, driver, memory, model-loading, and request-path failures.
- GPU Cost Baseline: What to Measure, What LiesDec 29, 2025 · 5 min
A reproducible way to join GPU capacity, utilization, request outcomes, and cost without pretending allocation equals useful work.
- AI Infra Readiness Audit: What I Check (and What You Get)Dec 29, 2025 · 4 min
The evidence I collect before recommending changes to GPU cost, inference reliability, or deployment operations.
- Optimizing Real-Time Kubernetes VisualizationsDec 25, 2025 · 8 min
What the current FlexDeck code does to keep Canvas 2D and Three.js cluster views responsive, and how its performance harness avoids unsupported frame-rate claims.
A de-identified field pattern for containing patient-match risk when filter and mode parameters interact in undocumented ways.