<ul><li>New-age AI-powered applications require enhanced compute security architecture.</li><li>Challenges include achieving high performance, cost-effectiveness, and robust security measures.</li><li>Optimizations such as GPUDirect RDMA, Unified Memory, and Computational Storage are crucial for AI workload handling hardware.</li><li>Enhancing confidential computing architecture involves extending Trusted Execution Environment (TEE) for AI accelerators.</li></ul>

Enhancing Compute Security Architecture For New-Age Applications

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