HPE Intel Xeon 6126 2.6GHz DL380/388 G10 12 Core Processor

Overview

The HPE 826862-B21 is a processor upgrade kit designed for HPE ProLiant DL380 and DL388 Gen10 servers, featuring the Intel Xeon Gold 6126 CPU. This twelve-core processor runs at a 2.6 GHz base frequency and includes 19.25 MB of Level 3 cache, delivering enhanced parallel processing power for demanding server workloads. The kit also includes a compatible heatsink and two standard fan modules to ensure effective cooling and maintain stable performance under heavy use.

Key features

• Twelve-core Intel Xeon Gold 6126 processor that boosts multi-threaded performance for virtualization and database tasks
• Large 19.25 MB Level 3 cache reduces latency by keeping frequently accessed data close to the cores
• 125 W thermal design power supports sustained high-demand workloads without overheating
• Comes with a matching heatsink and two fan modules to provide proper cooling and maintain system reliability
• Directly compatible with the FCLGA 3647 socket on HPE ProLiant DL380 and DL388 Gen10 servers, simplifying installation
• Improves server capacity for hosting virtual machines, running large applications, and accelerating analytics jobs

Key specs

• Processor: Intel Xeon Gold 6126
• Cores: 12
• Base clock speed: 2.6 GHz
• Level 3 cache: 19.25 MB
• Thermal design power (TDP): 125 W
• Socket type: FCLGA 3647
• Included cooling: heatsink and two standard fan modules

Installation and setup

Installation is straightforward for technicians familiar with HPE Gen10 ProLiant servers. The processor fits directly into the existing FCLGA 3647 socket on DL380 and DL388 Gen10 motherboards, requiring no additional adapters or specialized tools. The included heatsink and fan modules ensure the processor remains within optimal temperature ranges, supporting reliable operation from the moment it is installed.

Ideal uses and environments

This upgrade kit is well suited for data centers and lab environments that demand flexible and scalable compute power. It enhances virtualization clusters by increasing VM density without oversubscription, supports database servers with faster data access, and accelerates containerized microservices development. Teams running analytics workloads will benefit from quicker query completion and improved resource availability for subsequent tasks.