Asus Barebone System RS700A-E12-RS12U: 1U Rack-Mountable Dual AMD EPYC 9004 Server

The Asus Barebone System RS700A-E12-RS12U is a purpose-built 1U rack-mountable chassis engineered for high-density, enterprise-grade computing. With support for two AMD EPYC 9004 processors on the SP5 LGA-6096 socket, this platform delivers outstanding processing power, memory bandwidth, and I/O flexibility in a compact form factor. Ideal for virtualization, data analytics, large-scale databases, AI inference, and HPC workloads, the RS700A-E12-RS12U is designed to scale with growing workloads while maintaining efficient thermal design and streamlined management. The barebone design gives data centers the freedom to tailor memory, storage, and GPU configurations to precise usage scenarios, balancing performance, reliability, and cost-efficiency in a single rack unit.

• Powerful dual-processor performance: Leverage two AMD EPYC 9004 CPUs (96 Zen 4 cores per processor) for up to 192 cores of computing power, delivering exceptional throughput for virtualization, database services, and AI workloads. Combined with 12-channel DDR5 memory across up to 24 DIMMs, this platform ensures high compute density and robust memory bandwidth to handle demanding Enterprise workloads with ease.
• Extensive I/O and storage bandwidth: The RS700A-E12-RS12U features 3 PCIe 5.0 slots for ultra-fast expansion, 12 NVMe drives for high-speed storage, and two M.2 ports for OS and caching. An OCP 3.0 slot adds flexible network connectivity, enabling rapid deployment of NICs and accelerators while preserving a streamlined 1U footprint.
• GPU-ready and scalable expansion: This barebone supports one dual-slot GPU, enabling GPU-accelerated workloads such as AI inference, machine learning training, and scientific computing. The combination of PCIe 5.0 and a dedicated GPU path in a compact chassis provides versatile performance scaling within a single server node.
• Robust management and reliability: Managed through ASUS ASMB11-iKVM, the RS700A-E12-RS12U offers remote management, monitoring, and initialization capabilities to minimize downtime. The chassis is designed for enterprise-grade reliability, with cooling and serviceability features that support round-the-clock operation in data centers and edge deployments.
• Future-ready barebone design: With 2 x processor support, socket SP5 LGA-6096, and flexible storage/expansion options, this 1U platform is built to adapt to evolving workloads. It provides a scalable foundation for virtualization clusters, data analytics pipelines, and HPC environments, enabling organizations to tailor performance and cost without compromising density.

Technical Details of Asus Barebone System RS700A-E12-RS12U

• Model: Asus RS700A-E12-RS12U Barebone System
• Chassis form factor: 1U rack-mountable chassis
• Socket: SP5 LGA-6096
• Processor support: 2 x AMD EPYC 9004 processors
• Core architecture: Zen 4 cores (up to 96 cores per CPU; up to 192 cores total in dual-processor configuration)
• Memory: Up to 24 DIMMs, DDR5, up to 4800 MT/s (12-channel per CPU)
• Storage options: 12 NVMe drives + 2 x M.2 slots for OS/cache
• Expansion slots: 3 x PCIe 5.0 slots
• Networking: OCP 3.0 slot for flexible NICs and high-speed networking
• GPU support: One dual-slot GPU supported
• Management: ASUS ASMB11-iKVM for remote server management
• Form factor compatibility: 1U rack-mountable chassis suitable for data centers and edge deployments
• Other: Dual-processor configuration with scalable I/O, storage, and GPU options for diverse workloads

How to Install Asus Barebone System RS700A-E12-RS12U

• Prepare the chassis and components: Ensure you have the RS700A-E12-RS12U barebone chassis, AMD EPYC 9004 CPUs, matching memory modules (DDR5), NVMe drives, and any required expansion cards. Verify firmware and motherboard compatibility for SP5/LGA-6096 sockets.
• Install CPUs and coolers: Install two AMD EPYC 9004 processors into the SP5 sockets, following the server’s installation guides for orientation and thermal paste as needed. Attach appropriate heatsinks and ensure proper seating and snug fitting to maintain thermal performance.
• Populate memory and storage: Install memory modules across the 24 DIMM slots to maximize memory bandwidth and interleaving. Insert NVMe drives into the 12 drive bays, and place OS/cache drives into the two M.2 slots as required for your deployment.
• Connect I/O, GPU, and networking: Install any required PCIe 5.0 expansion cards, such as NICs, accelerators, or the dual-slot GPU. Connect power supplies and appropriate networking cables to the OCP 3.0 slot and other uplinks as needed for your environment.
• Power on and configure: Power up the system and access the ASMB11-iKVM interface for initial BIOS setup, RAID/SSD configuration, and performance-tuning. Verify thermal behavior and monitor sensors to ensure stable operation under expected workloads.

Frequently asked questions

• What processors does this barebone support? It is designed for two AMD EPYC 9004 processors on the SP5 LGA-6096 socket, delivering high-core-count performance for virtualization, AI, and HPC tasks.
• How much memory can be installed? Up to 24 DDR5 DIMMs, with support for high-speed memory up to 4800 MHz across 12 channels per CPU, enabling substantial memory bandwidth for data-intensive workloads.
• How many NVMe drives are supported? The system supports up to 12 NVMe drives, plus two M.2 slots for OS or caching, providing flexible, high-performance storage options in a compact 1U form factor.
• Does it support a GPU? Yes, the chassis is capable of supporting one dual-slot GPU, enabling GPU-accelerated workloads such as AI inference and scientific computing.
• What management features are included? The platform includes ASUS ASMB11-iKVM for remote management, monitoring, and system control, helping administrators deploy, troubleshoot, and optimize operations from a remote console.
• What is the form factor and ideal use cases? A 1U rack-mount barebone designed for data centers and edge deployments requiring dense compute, flexible storage, and scalable I/O for virtualization, databases, analytics, and HPC workloads.