ASUS RS720-E9-RS8-G High Performance 2U Barebone Server

ASUS RS720-E9-RS8-G High Performance 2U Barebone Server

DETAILS:

ASUS RS720-E9-RS8-G High Performance 2U Barebone Server

KEY FEATURES:

• Powered by the latest 2nd Gen Intel Xeon Scalable processors
• 205W CPU with 24 DIMM support
• Two double-deck GPU support including NVIDIA Tesla or Quadro
• Multiple dedicated cooler and system fans for improved airflow and stable performance
• Scalable design for growing workloads with 4 NVMe HDDs, dual PCIe or SATA M.2 , and 6 PCIe slots
• Exclusive thermal radar technology for energy efficiency – Reduces fan power-consumption by up to 20%
• High power efficiency with redundant 1200W 80 Plus Platinum power supply
• Easy maintenance and debugging with internal USB 3.0 port and microSD card support for easier access
• Complete IT infrastructure management with ASMB9 out-of-band remote management and in-band ASUS Control Center

Powered by the latest 2nd Gen Intel Xeon Scalable processors

RS720-E9-RS8-G is built on the latest 2nd Gen Intel Xeon Scalable processors to deliver incredible 2U server performance, packing incredible power into minimal space. RS720-E9-RS8-G offers breakthrough performance with the latest Intel Optane™ DC persistent memory with an over 88% gain in input/output operations per second (IOPS) compared with the same configuration in SSD. Featuring the latest Intel Deep Learning Boost technology to enhance deep learning capabilities, RS720-E9-RS8-G achieves a 3.1X performance improvement in the ResNet-50 and SSD VGG-16 models, fully demonstrating the inference capability of the new platform.

Dual GPU Support for Graphics-intensive Applications

RS720-E9-RS8-G supports two double-deck GPU cards including NVIDIA Tesla and Quadro to deliver outstanding computing throughput and unparalleled performance, ideal for graphics-intensive applications. Delivering 10.87 TFLOPS of Double-Precision Performance with two NVIDIA Tesla V100 GPU, RS720-E9-RS8-G provides maximum performance for artificial intelligence and deep learning.