Adding Network Security to AI, HPC and Data Centers
Adding Network Security to AI, HPC and Data Centers
Rambus has published a white paper exploring how AI and HPC workloads are splitting data center networks into front-end and back-end domains, each with distinct performance, scalability, and security requirements. The white paper analyzes the architecture and security considerations of these two types of networks, and explains how operators can protect critical data and communications without sacrificing the performance that distributed AI and HPC demand.
How data center operators can protect critical data and communications without compromising the performance demanded by distributed AI and HPC workloads.
November 4th, 2026 - By: Rambus
AI and HPC workloads are transforming data center networking by creating distinct front-end and back-end network domains, each with different performance, scalability, and operational requirements. While front-end networks connect users, applications, storage, and management systems, back-end networks provide the high-speed connectivity required among GPUs, accelerators, and compute nodes. This white paper examines the architectural and security considerations associated with these specialized networks and explains how data center operators can protect critical data and communications without compromising the performance demanded by distributed AI and HPC workloads.
Learn:
- How front-end and back-end networks serve different roles in modern AI and HPC infrastructure
- The performance, operational, and security requirements of each network domain
- How to protect data and communications across increasingly distributed compute environments
Read more here.
Fig.1: Network security in the AI NIC. Source: Rambus
Source: Semiconductor Engineering Chips and Packaging · semiengineering.com