ASUS RS500-E9-RS8 4 Bay Intel LGA 3647 1U Barebone Server

ASUS RS500-E9-RS8 4 Bay Intel LGA 3647 1U Barebone Server

DETAILS:

ASUS RS500-E9-RS8 4 Bay Intel LGA 3647 1U Barebone Server

Rack-optimized 1U server designed for NVMe storage expandability and power efficiency

• Powered by the latest 2nd Gen Intel Xeon Scalable processors
• 205W CPU with 16 DIMM support
• High power-efficiency with redundant 770W 80 Plus Platinum power supply
• Designed for flexible storage with four NVMe, SAS or SATA drives
• Ultrafast connectivity with OCP 2.0 Mezzanine card support
• Two M.2 slots accommodate 22110-size SSDs for faster boot speed
• Exclusive Thermal Radar energy-efficiency technology reduces fan power consumption by up to 20%
• 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

RS500-E9-RS4-U is built on the latest 2nd Gen Intel Xeon Scalable processors to deliver incredible 1U server performance, packing incredible power into minimal space. RS500-E9-RS4-U 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, RS500-E9-RS4-U achieves a 3.1X performance improvement in the ResNet-50 and SSD VGG-16 models, fully demonstrating the inference capability of the new platform.

Exclusive Thermal Radar technology for energy efficiency

RS500-E9-RS4-U features ASUS-exclusive Thermal Radar technology with ambient sensors placed in CPU, memory, NVMe, SSD, OCP mezzanine connector for internal and external temperature monitoring, and dynamic fan-curve adjustment, which lowers fan power consumption by up to 20% and reduces total cost of ownership — ideal for data centers with extreme workloads.