Dell PowerEdge R7625 Rack Server (AMD EPYC 9004)

The Dell PowerEdge R7625 is a 2U rack server built on the AMD EPYC 9004 series (Genoa) processor architecture, supporting dual-socket configurations with processors delivering up to 96 cores per socket. Designed for compute-intensive enterprise workloads, the R7625 leverages the AMD EPYC 9004 platform's PCIe 5.0 lanes, DDR5 memory channels, and high memory bandwidth to deliver substantial throughput for data-heavy applications. The platform supports up to 12 DDR5 DIMM slots per processor (24 total), enabling large in-memory dataset operations alongside high-speed NVMe storage connectivity.

The R7625 accommodates a flexible storage configuration with support for NVMe, SAS, and SATA drive options across multiple front-accessible bays, complemented by an internal M.2 boot device capability. Networking flexibility is provided through the integrated OCP 3.0 mezzanine slot and rear PCIe expansion slots supporting high-speed 25GbE, 100GbE, and InfiniBand adapters. The server integrates Dell's OpenManage systems management ecosystem, including iDRAC9 with Lifecycle Controller for remote management, automated deployment, and firmware orchestration across the infrastructure stack.

Targeted at enterprises requiring scalable, high-core-count x86 infrastructure, the PowerEdge R7625 is well suited for virtualization consolidation, AI/ML inference, high-performance databases, and cloud-native workloads. The 2U form factor balances density with thermal headroom, supporting high-TDP AMD EPYC processors while maintaining rack-efficient deployment. The platform's support for PCIe 5.0 accelerators and high-bandwidth memory makes it a strong foundation for GPU-adjacent compute tasks and memory-bound analytical processing.

Ideal for

• Large-scale VMware vSphere or Red Hat OpenShift virtualization consolidation requiring high core counts and large memory footprints
• In-memory database workloads such as SAP HANA, Oracle Database, and Microsoft SQL Server benefiting from DDR5 memory bandwidth
• AI and machine learning inference pipelines leveraging PCIe 5.0 GPU or accelerator card attachment
• High-performance computing (HPC) and technical simulation workloads requiring multi-core parallelism and fast memory access
• Cloud-native Kubernetes-based microservices infrastructure demanding high vCPU density per rack unit
• Big data analytics platforms such as Apache Spark requiring high core counts, fast NVMe local storage, and high network throughput

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.