ASUS Announces ESC N8-E11 AI Server with NVIDIA HGX H200
- Written by ASUS
NVIDIA HGX H200 Solutions
Shipments of the ESC N8-E11 with NVIDIA HGX™ H200 are scheduled to begin in early Q4 2024, marking a new milestone in the ongoing ASUS commitment to excellence. ASUS has been actively supporting clients by assisting in the development of cooling solutions to optimize overall PUE, guaranteeing that every ESC N8-E11 unit delivers top-tier efficiency and performance – ready to power the new era of AI.ESC N8-E11: The best choice for heavy AI workloads Powered by dual 5th Gen Intel® Xeon® Scalable processors and eight NVIDIA H200 Tensor Core GPUs, ASUS ESC N8-E11 with NVIDIA HGX™ architecture provides support for up to 10+1 PCI Express® (PCIe®) slots, 32 DIMM, 10 NVMe® and dual 10G LAN, offering flexibility and expandability for diverse computing needs.
ESC N8-E11 is specifically engineered with advanced GPU-to-GPU interconnect via NVLink technology. This dedicated one-GPU-to-one-NIC topology ensures high throughput for data-intensive tasks such as AI, machine learning, and HPC applications.
As the expert in AI supercomputing, ASUS has placed a strong emphasis on power efficiency and optimized thermal design within ESC N8-E11. This powerful AI server supports both air-cooling and D2C (direct-to-chip) liquid-cooling solutions, coupled with dedicated CPU and GPU airflow tunnels, allowing heat to be expelled into the surrounding ambient air ― resulting in greater energy efficiency and overall system power savings. This ensures that the server operates at peak performance, even under the most demanding conditions.
With its unparalleled capabilities, ESC N8-E11 is the first choice for cultivating AI advancement for enterprise applications ― enabling organizations to unlock the full potential of AI and transform the way that businesses operate.
Availability & Pricing
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References
- ^ Media OutReach Newswire (www.media-outreach.com)
- ^ AI servers (www.asus.com)
- ^ ESC N8-E11 (servers.asus.com)
- ^ ASUS ESC N8-E11 (servers.asus.com)
Authors: ASUS
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