ASUS ESC4000A-E10 High Density 2U GPU Server

Description

ASUS ESC4000A-E10 High Density 2U GPU Server

DETAILS:

ASUS ESC4000A-E10 High Density 2U GPU Server

KEY FEATURES:

• Powered by AMD EPYC™ 7003&7002 processor with 64 cores, 128 threads, and support for max. TDP of up to 280 watts per socket
• Up to eleven PCIe® 4.0 slots enables higher bandwidth and improved data transfer rates
• GPU-optimized design allows four double-slot or eight single-slot GPUs, including NVIDIA® A100, Tesla® T4 or Quadro®
• A Xilinx Alveo-qualified server support for Alveo U50 to provide optimized acceleration for workloads across cloud and on-premises data centers
• Supports NVIDIA® NVLink bridge to enable scaling of performance to meet the demands of visual computing workloads
• A choice of PCIe Gen 4.0, OCP 3.0, NVMe and M.2 on the front panel offer flexibility, performance and scalability for changing business needs
• High power efficiency with redundant 2200W or 1600W Platinum power supplies
• ASUS thermal control technology offers more efficient power consumption for large-scale environments
• ASUS performance tuning technology improves workload throughput to achieve optimal server performance
• Complete IT infrastructure remote management with ASMB9 (out-of-band) and ASUS Control Center (in-band)
• Two hot-plug, hot-swap fans design for fully redundancy protection and thermal efficiency

PCIe 4.0 expansion

PCIe® 4.0 delivers 16 GT/s bandwidth — double the speed of PCIe 3.0 — while offering lower power consumption, better lane scalability and backwards compatibility. ASUS ESC4000A-E10 features up to eleven PCIe 4.0 slots to support a diverse array of graphics, storage and networking applications, such as HBA/RAID, NIC and InfiniBand (IB) cards.

NVIDIA RTX server

ESC4000A-E10 is a NVIDIA RTX server validate system that deliver unprecedented performance at a fraction of the cost, space, and power requirements of traditional CPU-based solutions, from production rendering to scalable visualization systems or HPC, AI, ML, big data analytics, and at the edge deployment options.