SAP SD plays a vital role in streamlining sales and distribution operations, enhancing efficiency, and enabling informed decision-making within organizations leveraging SAP ERP software.

There is no one set journey to AI enablement.  AI (and the infrastructure to run it) will take many forms. Many enterprises will follow different paths based on their specific goals, business and technical priorities and other considerations. But no matter where your enterprise is ultimately headed in the AI era, AMD EPYC processor-powered servers offer the platform to take you there as your needs evolve.

4th Gen AMD EPYC™ processors with AMD 3D V-Cache™ technology stack additional SRAM directly on top of the compute die, thereby tripling the total L3 cache size to as much as 1,152 MB processor compared to a maximum of 384 MB for standard AMD EPYC 9004 processors. This supersized cache can relieve memory bandwidth pressure by storing a large working dataset very close to the cores using that data, which can significantly speed up many technical computing[1] workloads. These new processors continue the high-performance legacy established by 3rd Gen AMD EPYC processors with AMD 3D V-Cache technology and add notable 32-core and top-of-stack processor performance uplifts. AMD 3D V-Cache technology is fully transparent to the host operating system, with neither special requirements nor code changes required to fully realize additional performance.

The tech industry is in a perpetual struggle to achieve equilibrium between compute, storage and networking for maximum performance. For now, storage—or, more precisely, the location of large data sets—is the problem, and chiplets, pioneered by AMD, is one solution.

This week, we introduced two additional processor models to the 4th Gen AMD EPYC™ processor family at the Datacenter and AI Technology Premier. I am excited to take this opportunity to provide an update on the software ecosystem readiness and showcase some of the performance proof points for the AMD EPYC 97x4 processors.

Relational Database Management Systems (RDBMS) have a half century of history. They laid the foundation for modern business computing. Today, many types of data stores and data management systems are deployed. Still, RDBMS remains the core of enterprise applications for transaction processing, business analytics, and decision support systems – all part of the enterprise business.

The world is undergoing unprecedented change driven by technology advances that are connecting billions of people to the internet and to each other, creating enormous amounts of data in the process. These connections and data represent an opportunity for companies to improve their business, create new revenue streams, even invent whole new models to solve the world’s most challenging problems.