ASRock Rack Server Motherboard TURIN2D24G-2L+/500W Proprietary Dual Socket SP5 (LGA 6096), supports AMD EPYC 9005/9004 TDP up to 500W - OEM

The ASRock Rack TURIN2D24G-2L+/500W is a proprietary dual-socket SP5 server motherboard for AMD EPYC 9005/9004 and 97x4 processors, suited to server builders needing support for CPUs rated up to 500W and 24 DDR5 RDIMM or RDIMM-3DS slots.

Recommended For

• Server and lab operators building dual-socket AMD EPYC compute or virtualization nodes, especially when they need extensive DDR5 RDIMM capacity and remote IPMI management.
• Storage-server builders who need to connect many drives and high-speed storage or expansion devices through MCIO, rather than relying only on conventional motherboard ports.
• Experienced AI or GPU-compute builders planning a custom server and prepared to select and configure MCIO adapters, cabling, and firmware for their GPU setup.
• System integrators designing large, purpose-built EPYC servers who can plan around a proprietary board layout and server-class power and cooling requirements.

Real-World Use Scenarios

• Consolidate several services or older servers onto one virtualization host: with compatible EPYC processors, memory, and a supported hypervisor, the dual-socket platform can run multiple VMs side by side. A homelab user described using a dual-EPYC system to consolidate machines on Proxmox.
• Build a compute node for workloads that can use many CPU cores, such as batch processing, scientific computing, or CPU rendering: a dual-EPYC configuration can work through parallel jobs, while actual run times depend on the chosen processors, memory, software, and cooling. StorageReview tested a dual-EPYC 9005 system with CPU-based Blender rendering and other compute benchmarks.
• Assemble a storage server for shared files, backups, or data-heavy workloads: the board’s configurable storage connections can support a densely connected drive layout, but the final drive count and mix depend on cabling, backplane, and controller choices. Community EPYC builds show users pairing these platforms with NVMe drives and storage software such as ZFS.
• Host GPU-assisted inference or machine-learning services in a server build: the platform can be used where the compatible chassis and expansion layout support the required accelerator cards. The motherboard alone does not include GPUs, so accelerator support and performance depend on the rest of the system.
• Manage a rack-mounted server remotely when it is deployed in an office, lab, or data center: IPMI can help an administrator access and manage the system without being physically at the machine. This is a motherboard-level capability; network setup and supported management features affect the experience.

Spec Summary