Empower Your Enterprise with Next-Gen AI Infrastructure

The ASUS ESC8000A-E13 is a state-of-the-art dual-socket 4U server designed to deliver exceptional computational capabilities for modern data centers. Engineered to handle large-scale generative AI, machine learning, and high-performance computing (HPC), this server provides a robust, high-bandwidth fabric that scales effortlessly with your enterprise's growing computational needs.

Unrivaled Processing & GPU Power

At the heart of the ESC8000A-E13 lies the immense processing power of dual 5th/4th Gen AMD EPYC™ 9005/9004 series processors, supporting massive TDPs of up to 500 watts per socket and up to 192 cores. To tackle extreme AI workloads, the server boasts direct GPU support for up to eight 600W dual-slot GPUs. Because the GPUs are directly connected to the CPU, data bottlenecks are effectively eliminated, ensuring minimal latency. The system also supports configurable NVIDIA® NVLink™ 2-Way or 4-Way Bridges to optimize bandwidth and performance for dense LLM and AI training applications.

Blazing-Fast Connectivity and Memory

Data bottlenecks are a thing of the past. The ESC8000A-E13 features 24 DIMM slots supporting up to 3TB of ultra-fast DDR5 6400/5600 RDIMM memory. It is equipped with cutting-edge PCIe 5.0 architecture, featuring a total of 11 expansion slots. This includes dedicated high-bandwidth slots for NIC cards and advanced Data Processing Units (DPUs) like the NVIDIA BlueField®-3, ensuring your networking speeds can keep up with your computational output.

Flexible Storage & Toolless Maintenance

Flexibility meets operational efficiency. The server offers highly versatile storage configurations with eight 2.5" front hot-swap storage bays, supporting hardware RAID functionality and up to six U.2 NVMe drives for lightning-fast data retrieval. Furthermore, data center administrators will appreciate the ASUS-exclusive modular and toolless design, which empowers incredibly easy servicing and saves over 90% in maintenance time, reducing operational overhead and maximizing uptime.

Ideal Target Applications:

• Generative AI & LLM Inference: Deploy massive language models with rapid, low-latency responses.
• AI Training & Deep Learning: Accelerate model training times with 8x high-wattage GPU support.
• High-Performance Computing (HPC): Execute complex simulations and scientific calculations seamlessly.
• Data Center & Virtual Machines: Power dense virtualization environments with massive core counts and memory capacity.