ASUS RS720-E10-RS12E-16K10L Barebone Server System

★★★★★ 4.1 120 reviews

US$955.80
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Product details

Management number 241235587 Release Date 2026/07/17 List Price US$955.80 Model Number 241235587
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Overview

The ASUS RS720-E10-RS12E-16K10L is a 2U rackmount barebone server designed to handle demanding workloads with flexibility and power. It supports two 3rd Gen Intel Xeon Scalable processors, enabling scalable core and thread counts for high-performance computing, virtualization, or AI model training. With 32 DDR4 DIMM slots supporting up to 6 TB of memory, this server ensures ample capacity for large databases and extensive virtual machine hosting. Its design balances compute density, memory capacity, and expansion options, making it suitable for data centers, research labs, and cloud service environments that require reliable performance and future growth potential.

Key features
  • Supports dual 3rd Gen Intel Xeon Scalable processors to scale processing power according to workload demands
  • 32 DDR4 DIMM slots provide extensive memory capacity to minimize latency and support large in-memory applications
  • Nine PCIe 4.0 slots allow installation of high-bandwidth network adapters, NVMe storage cards, or GPU accelerators for versatile expansion
  • Up to four dual-slot GPUs can be installed to accelerate AI inference, rendering, or data analytics tasks
  • Twelve hot-swap drive bays accept 2.5-inch or 3.5-inch NVMe, SATA, or SAS drives, enabling a mix of fast flash and high-capacity storage
  • Two onboard M.2 slots provide additional storage options without occupying drive bays, ideal for boot drives or cache devices
  • Redundant 1600 W power supplies with 80 Plus Platinum efficiency ensure continuous operation and energy savings
  • ASMB10-iKVM module with ASPEED AST2600 controller offers full remote management for firmware updates, power control, and troubleshooting
  • Onboard PFR FPGA enhances firmware security by protecting against unauthorized changes and improving system resiliency
Key specs
  • Processor support: two 3rd Gen Intel Xeon Scalable processors
  • Memory: 32 DDR4 DIMM slots, up to 6 TB capacity
  • Expansion slots: nine PCIe 4.0 slots
  • GPU support: up to four dual-slot cards
  • Drive bays: twelve hot-swap 2.5-inch or 3.5-inch bays supporting NVMe, SATA, SAS
  • Onboard storage: two M.2 slots
  • Power supplies: dual redundant 1600 W, 80 Plus Platinum certified
  • Management controller: ASMB10-iKVM with ASPEED AST2600
  • Firmware protection: onboard PFR FPGA
  • Form factor: 2U rackmount chassis
Connectivity and compatibility

This server is designed to integrate seamlessly into enterprise environments requiring high-speed connectivity and flexible device support. The nine PCIe 4.0 slots accommodate a variety of expansion cards, including network adapters that support the latest standards and GPU accelerators for compute-intensive tasks. The twelve front-accessible drive bays support multiple storage interfaces, allowing a combination of fast NVMe drives and high-capacity SATA or SAS disks to meet diverse storage needs. The onboard M.2 slots add further flexibility for boot or cache drives without sacrificing bay space.

Performance and reliability

With dual 3rd Gen Intel Xeon Scalable processors and up to 6 TB of DDR4 memory, this server delivers the processing power and memory bandwidth required for virtualization, AI workloads, and large-scale data processing. The redundant 1600 W power supplies with 80 Plus Platinum certification provide efficient and reliable power delivery, minimizing downtime risks. Firmware security is enhanced by the onboard PFR FPGA, which guards against unauthorized firmware modifications, ensuring system integrity in critical environments.

Ideal uses and environments

The RS720-E10-RS12E-16K10L is well suited for data centers, cloud service providers, and research institutions that demand scalable compute and memory resources. Its support for multiple GPUs and high-speed expansion slots makes it a strong choice for AI model training, rendering farms, and data analytics clusters. The flexible storage options and robust remote management capabilities also make it a practical option for IT teams managing large virtualization environments or mixed workloads requiring both performance and reliability.


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