Fujitsu PRIMERGY CX2570 M7 Server Node

The Fujitsu PRIMERGY CX2570 M7 is a next-generation half-width server node designed for deployment within the Fujitsu PRIMERGY CX400 M7 multi-node chassis, accommodating up to four independent compute nodes in a compact 2U enclosure. Built around the 5th Generation Intel Xeon Scalable processor platform (codenamed Emerald Rapids), the CX2570 M7 delivers significant per-core performance gains and improved thermal design power (TDP) efficiency compared to its predecessor, making it an ideal foundation for compute-dense cloud service provider infrastructure and technical high-performance computing clusters. Each node supports dual-socket processor configurations, enabling memory bandwidth and core-count scaling that satisfies the most demanding parallel workloads.

Memory architecture on the CX2570 M7 leverages DDR5 DIMM technology, providing substantially higher bandwidth and lower latency than DDR4-based predecessors. The platform supports up to 32 DIMM slots per node with capacities reaching multiple terabytes of addressable memory, accommodating in-memory analytics databases and large-scale scientific simulations. Integrated PCIe Gen 5 expansion slots allow the node to host high-bandwidth GPU accelerators, NVMe storage controllers, or advanced network interface cards, giving architects the flexibility to configure nodes for CPU-only compute, GPU-accelerated AI inference, or storage-rich deployments within the same chassis infrastructure.

From an operational standpoint, the CX2570 M7 integrates with Fujitsu's iRMC (integrated Remote Management Controller) for out-of-band management, BIOS-level policy control, and full Redfish API support, enabling seamless integration with modern infrastructure automation frameworks including Ansible, Terraform, and OpenStack. Shared power and cooling resources within the CX400 M7 chassis reduce per-node power distribution overhead, and the updated fan and voltage regulator design contributes to measurable improvements in PUE metrics at the rack level, making the platform well-suited for operators with stringent sustainability and energy efficiency requirements.

Ideal for

• High-performance computing clusters for computational fluid dynamics, molecular dynamics, and finite element analysis requiring dense parallel processing across many nodes
• Cloud service provider infrastructure deployments demanding high compute density, standardized management APIs, and rapid node provisioning at scale
• AI inference serving farms where multiple nodes host GPU accelerators within a single chassis to maximize rack-level throughput per watt
• Large-scale containerized workloads orchestrated via Kubernetes, benefiting from shared chassis management and consolidated power delivery
• In-memory analytics and real-time data processing platforms that require high DDR5 memory bandwidth and large addressable memory per node
• Virtualization consolidation environments using VMware vSphere or Red Hat OpenShift where per-socket core density and memory capacity directly reduce total node count

Technical specifications

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