AMD

100-000000789 EPYC Processor 9654 2.4GHz 96-Core Server Processor

Overview:

The AMD 100-000000789 EPYC Processor 9654 is a flagship enterprise-grade Server Processor designed for data centers and cloud computing. This CPU delivers groundbreaking core density with an unprecedented **96 cores**, making it the ultimate Server Processor for massively parallel workloads, virtualization, and high-performance computing (HPC). It provides the **scalability and efficiency** required by the most demanding server infrastructure and is a premier Server Processor.

Expanded Overview:

The AMD EPYC 9654 processor, based on the advanced 'Genoa' architecture, sets a new standard for data center performance. With **96 high-performance cores** operating at a 2.4GHz base frequency, this Server Processor excels in raw thread count and power efficiency. It is engineered to minimize TCO (Total Cost of Ownership) by maximizing performance per watt and per rack unit. Key features for this top-tier Server Processor include support for **12 channels of DDR5 memory** and **PCIe Gen 5**, offering massive memory bandwidth and superior I/O capabilities crucial for modern server workloads. The EPYC platform also includes AMD Infinity Guard features, providing **silicon-level security**. This is an exceptional Server Processor that enables businesses to consolidate workloads and achieve leading-edge computational efficiency.

Features :

The AMD EPYC 9654 is an intelligent and integrated solution for the most demanding server and cloud applications.minimize TCO (Total Cost of Ownership) by maximizing performance per watt and per rack unit. Key features for this top-tier Server Processor include support for **12 channels of DDR5 memory** and **PCIe Gen 5**, offering massive memory bandwidth and superior I/O capabilities crucial for modern server workloads. The EPYC platform also includes AMD Infinity Guard features, providing **silicon-level security**. This is an exceptional Server Processor that enables businesses to consolidate workloads and achieve leading-edge computational efficiency.