Asus AMD EPYC 9004 Dual-Processor 4U GPU Server That Supports Eight Dual-Slot GPUs, PCIe 5.0 Switch Solution, Liquid Cooling Solution, Up to 24 DIMM, 13 PCIe 5.0 Slots, Eight NVMe, Four 3000W Titanium Power Supplies - ESC8000A-E12P-3W10G

Product Description

Asus AMD EPYC 9004 Dual-Processor 4U GPU Server That Supports Eight Dual-Slot GPUs, PCIe 5.0 Switch Solution, Liquid Cooling Solution, Up to 24 DIMM, 13 PCIe 5.0 Slots, Eight NVMe, Four 3000W Titanium Power Supplies

Introducing the Asus ESC8000A-E12P-3W10G, a powerful and versatile 4U GPU server designed for high-performance computing, artificial intelligence, and data center applications. This server delivers exceptional performance and scalability to meet the demands of today's most challenging workloads.

Unmatched Processing Power

Equipped with dual AMD EPYC 9004 series processors, the ESC8000A-E12P-3W10G provides unparalleled processing power. With support for up to 24 DIMM slots, this server can handle even the most memory-intensive tasks.

Exceptional GPU Acceleration

Designed to accommodate up to eight dual-slot GPUs, the ESC8000A-E12P-3W10G offers exceptional graphics processing capabilities. The PCIe 5.0 switch solution ensures high-speed data transfer rates, maximizing GPU performance.

Comprehensive Connectivity

The ESC8000A-E12P-3W10G offers extensive connectivity options with 13 PCIe 5.0 slots and eight NVMe drives, providing ample storage and expansion capabilities.

Efficient Cooling and Power

Featuring a robust liquid cooling solution, the ESC8000A-E12P-3W10G ensures optimal operating temperatures for critical components. The four 3000W Titanium power supplies deliver reliable and energy-efficient performance.

Key Features:

• Dual AMD EPYC 9004 series processors
• Support for up to eight dual-slot GPUs
• PCIe 5.0 switch solution
• Up to 24 DIMM slots
• 13 PCIe 5.0 slots
• Eight NVMe drives
• Liquid cooling solution
• Four 3000W Titanium power supplies

Ideal for:

• High-performance computing (HPC)
• Artificial intelligence (AI)
• Machine learning (ML)
• Data center operations