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Notes on infrastructure, AI, and engineering at scale.

An hour of llama-bench at 887 W: fine. Two minutes of real serving at ~300 W: hard reset, nothing logged. Two failure modes, the clock lock that fixed one, 50 Hz NVML power traces that show what 1 Hz telemetry hides, a failed attempt to raise the lock, and what I still can't prove.

Local AI
RTX PRO 6000
Hardware
Observability
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A week running Google's Gemma 4 26B as a daily local agent on a single RTX 5070 Ti. Build saga, throughput numbers, first published BFCL accuracy figures, and an honest read on what consumer hardware can now do for tool-using agentic work.

Local AI
llama.cpp
BFCL
Benchmarks
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