What would you do with that old GPU?
Summary: Trail of Bits notes that with GPU product cycles of roughly 18-24 months and each cycle doubling GPU power under Huang's Law, older server GPUs get removed from Google Cloud and Microsoft Azure but not AWS, and are considered useless for machine learning. The firm is seeking research funding and access to spare GPU capacity, including hardware past end of life, to pursue security and program analysis work such as GPU-accelerated fuzzing of embedded platforms, SMT solving, reachability queries, and Datalog acceleration.
Bottom line: Racks of functional GPUs with capital costs already paid are being displaced from cloud providers on a roughly two-year cadence, and Trail of Bits argues they remain useful for embarrassingly parallel security work like fuzzing and program analysis rather than disposal.
Read the original at Trail of Bits Blog ↗
- Topics
- Cloud Security
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