Cisco UCS C225 M8 Rack Server (AMD EPYC 9005)

The Cisco UCS C225 M8 Rack Server is a 1U, single-socket platform built around the AMD EPYC 9005 series processors, offering up to 192 cores per socket using AMD's Zen 5 microarchitecture. Designed for organizations requiring maximum compute density in a compact footprint, the C225 M8 leverages PCIe 5.0 interconnects and DDR5 memory to deliver substantial improvements in throughput and memory bandwidth over previous generations. Integration with Cisco Intersight provides unified management, automation, and telemetry capabilities that align with modern hybrid cloud and DevSecOps operational models.

The server is purpose-engineered for virtualization, cloud-native workloads, and high-throughput data analytics, where per-core licensing economics and memory capacity directly influence total infrastructure expenditure. With support for up to 12 DDR5 DIMM slots and high-capacity NVMe storage options, the C225 M8 enables administrators to consolidate workloads that previously required multiple physical nodes. The platform's single-socket design reduces overall power consumption and thermal output while sustaining competitive compute performance for mid-tier and scale-out deployments.

As part of the Cisco UCS portfolio, the C225 M8 benefits from Cisco's unified compute fabric, enabling seamless integration with Cisco UCS Manager and Cisco Intersight for policy-driven provisioning, firmware lifecycle management, and AI-ops-assisted health monitoring. The server supports a broad ecosystem of accelerators and high-speed networking options, making it adaptable across enterprise virtualization stacks, Kubernetes environments, genomic analysis pipelines, and real-time database serving workloads where AMD EPYC's high core-count and large L3 cache architecture offer measurable performance advantages.

Ideal for

• High-density server virtualization with VMware vSphere or Red Hat OpenShift, leveraging high core counts to maximize VM consolidation ratios per 1U of rack space
• Cloud-native Kubernetes worker node deployments requiring per-socket licensing efficiency and high memory bandwidth for containerized microservices
• In-memory and real-time relational database serving (PostgreSQL, MySQL, SAP HANA scale-out nodes) benefiting from DDR5 capacity and AMD EPYC's large L3 cache
• Genomics, bioinformatics, and scientific HPC workflows where multi-threaded parallel processing across 96–192 cores accelerates time-to-result
• AI/ML inference at the edge or in the core data center, using PCIe 5.0 slots for GPU or AI accelerator card attachment alongside the EPYC CPU's integrated compute
• Software-defined storage (Ceph, MinIO) and hyperconverged infrastructure nodes requiring dense NVMe storage attachment with high I/O lane availability

Technical specifications

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