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An AI-powered tool that forecasts SSD/HDD hardware failures by analyzing S.M.A.R.T. data with an unsupervised anomaly detection model. Features an interactive Streamlit dashboard for real-time analysis.
SDC excitation engine for arm64 servers — a stress-ng fork that spends every cycle maximizing silent-data-corruption excitation (di/dt, SMT contention, cache/TLB/interconnect pressure, SDC-directed data shaping). Detection is delegated to SDCShield.