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Asus ESC8000A-E13P AI GPU Server

  • Product id:  25048
  • Stock: In Stock
  • Brand: Asus
  • Model: ESC8000A-E13P
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Key Features

    • Processor: Dual AMD EPYC™ 9005 Series
    • Graphics: Up to 8 × Dual-Slot 600W GPUs
    • Memory: Up to 24 DDR5 DIMM Slots
    • Storage: 8 × 2.5" NVMe Hot-Swap Bays
    • Chipset: NVIDIA MGX Architecture

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Main Features
Operating System Linux / Enterprise Server OS
Storage 8 × 2.5" Front Hot-Swap NVMe Bays + 2 × M.2 PCIe Gen5
Graphics Card Up to 8 × Dual-Slot PCIe Gen5 GPUs
Memory Slots 24 DIMM Slots
Processor & Memory
Processor 2 × AMD EPYC™ 9005 Series
Chipset NVIDIA MGX Architecture
Memory Capacity Up to 3TB
GPU Memory Configuration Dependent
Memory Type DDR5 6400/5600 RDIMM
Basic Information
Cooling System High-Performance Server Cooling
Power Supply 3+1 Redundant 3200W 80 Plus Titanium PSU
Chassis Volume 4U Rack Server
Performance
Max Boost Clock Processor Dependent
Physical Specification
Dimensions 800 × 439.5 × 175 mm
Weight Net: 45 kg, Gross: 56 kg
Form Factor AI GPU Server
Connectivity
Front I/O Ports 1 × Mini DisplayPort, 2 × USB 5Gbps, 1 × Debug Port
Rear I/O Ports 1 × USB 5Gbps, 2 × RJ45 LAN, 1 × Management LAN
LAN 2 × 10GbE RJ45 (Intel X710-AT2)

About This Asus ESC8000A-E13P AI GPU Server

The ASUS ESC8000A-E13P AI GPU Server is a next-generation enterprise AI platform built for large-scale AI training, inference, and HPC workloads. Powered by dual AMD EPYC 9005 processors and supporting up to eight dual-slot GPUs, it delivers exceptional computational performance, scalability, and data center efficiency.

Asus ESC8000A-E13P AI GPU Server in Bangladesh

The ASUS ESC8000A-E13P AI GPU Server is suitable for AI research centers, enterprise data centers, cloud service providers, and organizations in Bangladesh requiring high-performance AI infrastructure. Its NVIDIA MGX-compliant architecture enables flexible deployment for modern AI and machine learning workloads.

User Experience of Asus ESC8000A-E13P AI GPU Server

Users can efficiently train large language models, run AI inference workloads, and process HPC applications using up to eight high-performance GPUs. The server's high-bandwidth architecture, NVLink support, and scalable networking help maximize performance while simplifying maintenance through ASUS's toolless design.

Why Choose ASUS ESC8000A-E13P AI GPU Server?

The ESC8000A-E13P is designed for enterprise AI deployments requiring maximum GPU density and performance. With support for AMD EPYC 9005 processors, up to eight 600W GPUs, PCIe Gen5 expansion, and redundant Titanium-rated power supplies, it provides a powerful foundation for AI factories and HPC environments.

Key Features

  • Dual AMD EPYC™ 9005 Series processors
  • Supports up to 8 dual-slot 600W GPUs
  • NVIDIA MGX architecture compliant
  • Up to 24 DDR5 DIMM slots
  • 12-channel DDR5 memory architecture
  • 8 × 2.5-inch NVMe hot-swap drive bays
  • PCIe Gen5 expansion architecture
  • NVIDIA NVLink bridge support
  • High-performance AI training platform
  • Enterprise HPC workload optimization
  • Toolless maintenance design
  • ASUS Control Center management
  • Hardware Root-of-Trust security
  • 3+1 redundant Titanium power supplies
  • 4U rackmount AI server design

Performance Advantage

The server is optimized for AI training, LLM inference, generative AI, and HPC applications. Support for eight dual-slot GPUs, PCIe Gen5 connectivity, and high-bandwidth DDR5 memory enables exceptional throughput and scalability for enterprise AI infrastructure.

Where Asus ESC8000A-E13P AI GPU Server Can Be Used?

  • AI Model Training
  • Large Language Models (LLMs)
  • Generative AI Development
  • HPC Applications
  • Scientific Research
  • Data Center Infrastructure
  • Cloud Computing Platforms
  • Deep Learning Projects
  • Enterprise AI Deployment
  • Machine Learning Research

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What is the Asus ESC8000A-E13P AI GPU Server price in Bangladesh 2026?

The latest price of Asus ESC8000A-E13P AI GPU Server in Bangladesh depends on availability, specifications, and current market conditions. For quick pricing updates and stock details, reach out to us via WhatsApp or email.