TheLostSwede
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ASUS today announced the latest marvel in the groundbreaking lineup of ASUS AI servers - ESC N8-E11, featuring the intensely powerful NVIDIA HGX H200 platform. With this AI titan, ASUS has secured its first industry deal, showcasing the exceptional performance, reliability and desirability of ESC N8-E11 with HGX H200, as well as the ability of ASUS to move first and fast in creating strong, beneficial partnerships with forward-thinking organizations seeking the world's most powerful AI 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.
View at TechPowerUp Main Site | Source
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.
View at TechPowerUp Main Site | Source