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