AI’s fast evolution is producing autonomous systems that can operate with minimal human oversight, improve themselves and become effective at decision-making in complex environments. These developments require careful consideration of security and privacy. To limit the overhead performance impact (area, throughput, latency and power), hardware-based security solutions can be deployed using state-of-the-art silicon IP.

Download this white paper to:

  • Learn hardware architecture trends for HPC and AI
  • Review data-in-use protection for confidential computing and its applications
  • Check key considerations, limitations and recommendations for secure AI deployments

Download Hardware Deployment for Secure AI Using Confidential Computing