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GPUHammer Attack Prompts Nvidia to Mandate ECC on GDDR6 AI GPUs

Enabling ECC prevents silent AI model corruption at the cost of roughly 10 percent slower performance, a 6 percent reduction in usable VRAM

Overview

  • University of Toronto researchers publicly demonstrated GPUHammer, a Rowhammer-style exploit targeting GDDR6 memory.
  • Single-bit flips induced by GPUHammer can collapse AI accuracy from around 80 percent to under 1 percent on an RTX A6000.
  • GPUHammer requires only co-residency on the same GPU in cloud or server environments, avoiding any need to access user code or data.
  • Nvidia’s security advisory lists affected Ampere, Ada, Hopper and Turing models with a recommendation to activate ECC on GDDR6-based cards.
  • New Nvidia GPUs including the RTX 5090 and H100 integrate on-chip ECC to automatically guard against bit-flip attacks.