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Nvidia DGX systems prone to side channel, covert attacks
March 31, 2022, 1:43 p.m. | Nicole Hemsoth
The Register - Security www.theregister.com
Reverse engineering yields sticky microarchitectural vulnerabilities
Nvidia's ultra-dense GPU-driven AI training and inference systems are prone to covert and side channel attacks, according to research just published from a team led by Pacific Northwest National Laboratory (PNNL). This might be less concerning for those with on-prem DGX systems, but for cloud vendors selling time on the AI training boxes, the vulnerabilities are worth noting.…
More from www.theregister.com / The Register - Security
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