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Amplifying Latency and Cost of LLM Inference via Rowhammer Attack
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers introduced LLVMhammer, showing Rowhammer DRAM attacks can degrade GPU LLM inference speed and cost without altering output.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 23 October 2026
- Collected by OneBench
- 24 Oct 2026, 03:02 UK
- Original headline
- Amplifying Latency and Cost of LLM Inference via Rowhammer Attack ↗
Stored source excerpt
arXiv:2610.30798v1 Announce Type: cross Abstract: Large language models (LLMs) achieve high inference efficiency using optimized GPU kernels generated by just-in-time (JIT) compilation frameworks such as…
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