ASUS RS700-E11-RS4U-16W10G

Overview

The ASUS RS700-E11-RS4U-16W10G is a 1U rackmount barebone server system designed to deliver high performance in a compact chassis. It supports dual 4th or 5th Gen Intel Xeon Scalable processors via two LGA-4677 sockets, making it suitable for demanding workloads such as virtualization, scientific simulations, and financial modeling. With up to 12 TB of DDR5-4800 memory across thirty-two DIMM slots, this server excels at memory-intensive tasks like in-memory databases and real-time analytics.

Its flexible architecture includes four PCIe 5.0 slots, three of which operate at x16 lanes, allowing for high-bandwidth expansion cards such as network adapters, FPGA accelerators, or dual-slot GPUs like the NVIDIA A100. Storage options are equally robust, with front bays supporting up to twelve NVMe drives for fast, all-flash storage arrays. The system also features advanced remote management and redundant power supply options to ensure reliability in critical environments.

Key features

• Dual LGA-4677 sockets enable installation of powerful 4th or 5th Gen Intel Xeon Scalable processors for scalable compute performance.
• Thirty-two DDR5 DIMM slots support up to 12 TB of high-speed memory, ideal for large datasets and memory-bound applications.
• Four PCIe 5.0 expansion slots, including three with x16 lanes, provide ample bandwidth for GPUs, accelerators, and network cards.
• Front bays accommodate up to twelve NVMe drives, enabling fast and dense storage configurations to match compute capabilities.
• Supports dual-slot GPUs such as NVIDIA A100 or Intel Flex, facilitating AI inference, rendering, and other GPU-accelerated workloads.
• EVAC heatsink design efficiently manages thermal loads, maintaining system stability under heavy processing demands.
• Redundant 1600 W or 2000 W power supply options enhance uptime and protect against power failures in mission-critical deployments.
• Integrated ASMB11-iKVM module with ASPEED AST2600 controller offers full out-of-band management and remote control, even when the OS is offline.
• OCP 3.0 option card allows flexible networking with dual 10 GbE or quad 1 GbE ports, adapting to various network environments.

Key specs

• Processor sockets: Dual LGA-4677 for 4th or 5th Gen Intel Xeon Scalable CPUs
• Memory: 32 DDR5-4800 DIMM slots, up to 12 TB capacity
• Expansion slots: Four PCIe 5.0 slots (three x16 lanes)
• Storage bays: Up to twelve front-accessible NVMe drives
• GPU support: Dual-slot cards including NVIDIA A100 and Intel Flex
• Power supply: Redundant 1600 W or 2000 W options
• Management: ASMB11-iKVM module with ASPEED AST2600 controller
• Networking: OCP 3.0 card supporting dual 10 GbE or quad 1 GbE ports
• Form factor: 1U rackmount chassis

Connectivity and compatibility

The server’s OCP 3.0 option card provides flexible networking choices, allowing you to tailor connectivity to your infrastructure. Dual 10 GbE ports support high-bandwidth applications such as data center interconnects or virtualization traffic, while quad 1 GbE ports offer compatibility with existing network switches. The PCIe 5.0 slots enable installation of a wide range of add-in cards, including advanced network adapters and accelerators, ensuring the system can adapt to evolving workloads and technologies.

Performance and reliability

Designed for demanding enterprise environments, this server balances high compute density with robust thermal management. The EVAC heatsink design helps maintain optimal temperatures during intensive processing, reducing the risk of thermal throttling. Redundant power supplies provide continuous operation even in the event of a power failure, making this system well suited for mission-critical applications in HPC clusters, AI research, and cloud services.

Ideal uses and environments

This barebone server is a strong choice for organizations requiring dense compute power in a standard 1U rack space. It fits well in high performance computing clusters, AI research labs, cloud service providers, and enterprise IT departments. Its scalable CPU and memory options, combined with flexible storage and networking, allow administrators to configure the system precisely for workloads ranging from virtualization to real-time analytics and GPU-accelerated tasks.

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