GPUHammer Attack Severely Impairs AI Accuracy on Nvidia GDDR6 GPUs
TL;DR Summary
Researchers from the University of Toronto demonstrated that GPUHammer, a RowHammer-style attack, can induce single-bit flips in GDDR6 memory on NVIDIA RTX A6000 GPUs, drastically reducing AI model accuracy from 80% to below 1%. The attack exploits vulnerabilities in DRAM banks, but enabling ECC can mitigate the risk. The vulnerability affects certain high-end GPUs but not others like the RTX 5090 or data center cards with HBM memory.
- Research Reveals GPUHammer’s Capability To Destroy AI Model Accuracy On GDDR6 Memory GPUs From 80% To Just 0.1% Wccftech
- NVIDIA shares guidance to defend GDDR6 GPUs against Rowhammer attacks BleepingComputer
- New Rowhammer attack silently corrupts AI models on GDDR6 Nvidia cards — 'GPUHammer' attack drops AI accuracy from 80% to 0.1% on RTX A6000 Tom's Hardware
- Rowhammer Attack Demonstrated Against Nvidia GPU SecurityWeek
- Nvidia chips become the first GPUs to fall to Rowhammer bit-flip attacks Ars Technica
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