Home > Servers > PowerEdge Cyber Security > White Papers > Securing AI workloads on Dell PowerEdge with Intel Xeon processors using Intel Trust Domain Extensions > Overview
Getting the most out of server performance is crucial in today's AI-driven landscape. As organizations increasingly embrace AI for innovation, decision-making, and operational efficiency, they encounter challenges related to compute resource consumption. AI workloads, particularly those involving complex deep learning models, demand substantial compute resources due to the computational intensity of AI algorithms.
These workloads often involve running business-critical AI models and processing sensitive data, making it essential to prioritize data protection and application security. To address security concerns, the concept of Confidential Compute has emerged, focusing on protecting data and applications during processing. By implementing Confidential Compute for AI workloads, organizations can ensure their sensitive data remains secure, and their critical AI models are protected from unauthorized access or tampering. This approach helps maintain the confidentiality and integrity of both the data and the applications, enabling organizations to leverage the power of AI while maintaining a strong security posture.
One common concern for implementing security is the potential negative impact on performance. IT administrators are often caught between the desire to extract maximum system performance and the need to safeguard AI workloads. Security measures such as encryption and access controls can introduce additional computational overhead, which may slow down system performance and affect the overall user experience. This is particularly relevant for AI workloads, which are known to consume significant resources. Another factor contributing to this reluctance is the perception that security measures can be complex and time-consuming to implement and manage. IT administrators may worry about the additional workload and potential disruptions that come with implementing and maintaining security measures. Additionally, there might be a fear of compatibility issues or conflicts with existing systems and applications. IT administrators may hesitate to implement security measures if they believe it could lead to compatibility issues with critical software or hardware components.
This white paper addresses these challenges and offers guidance on optimizing performance, securing your AI workloads and ensuring ease of implementation using Dell PowerEdge 16th generation with 5th Gen Intel® Xeon® processors. The solution outlined in this paper showcases the ease of implementation to achieve Confidential AI while minimizing any negative impact on performance by focusing on two features provided by the 5th generation Intel® Xeon® processor: leveraging an AI accelerator called Intel® AMX and implementing advanced security measures using Intel® TDX. The purpose of this document is to provide guidance on achieving peak performance for AI workloads and implementing strong security measures.