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The flaws in the company's Triton Inference Server enables model theft, data leaks, and response manipulation.
A fix for a critical flaw in a tool allowing organizations to run GPU-accelerated containers released last year did not fully mitigate the issue, spurring the need to patch a secondary flaw to protect organizations that rely on NVIDIA processors for AI workloads.
Nvidia's latest GPUs are a hot commodity for AI, but security vulnerabilities could expose GPUs — which could be up to seven years old — to attacks from hackers.