Introduction to ASUS ESC N8-E11
ASUS recently announced the latest marvel in their lineup of AI servers—the ESC N8-E11, featuring the powerful NVIDIA HGX H200 platform. This new AI titan marks a significant achievement for ASUS, as they have secured their first industry deal, showcasing the exceptional performance, reliability, and desirability of the ESC N8-E11 with HGX H200.
Key Features and Specifications
The ESC N8-E11 is the best choice for handling heavy AI workloads. It is powered by dual 5th gen Intel Xeon Scalable processors and eight NVIDIA H200 Tensor Core GPUs. The server provides support for up to 10 PCI Express (PCIe) slots, 32 DIMM slots, 10 NVMe slots, and dual 10G LAN—offering both flexibility and expandability for diverse computing needs.
This AI server is specifically engineered with advanced GPU-to-GPU interconnect technology via NVLink. This dedicated one-GPU-to-one-NIC topology ensures high throughput for data-intensive tasks like AI, machine learning, and high-performance computing (HPC) applications.
Efficiency and Thermal Design
ASUS has placed a strong emphasis on power efficiency and optimized thermal design within the ESC N8-E11. The server supports both air-cooling and direct-to-chip (D2C) liquid-cooling solutions, coupled with dedicated CPU and GPU airflow tunnels. These features allow heat to be expelled into the surrounding ambient air, resulting in greater energy efficiency and overall system power savings.
ASUS is committed to ensuring that every ESC N8-E11 unit operates at peak performance, even under the most demanding conditions. This makes the ESC N8-E11 an ideal choice for organizations looking to unlock the full potential of AI and transform the way they operate.
Conclusion
With the new ESC N8-E11, ASUS continues to demonstrate its commitment to excellence in AI supercomputing. Shipments are scheduled to begin in early Q4 2024, marking a new milestone in the ongoing journey of ASUS to provide top-tier AI solutions. This powerful server is set to enable enterprises to cultivate AI advancement, enhancing both performance and efficiency in their operations.
