ASUS 2U AMD Server Rackmount Chassis ASUS ESC4000A-E12-SKU 1G 2600W

Chassis & Form Factor

• Form Factor: Standard 19-inch Rack

• Height: 2U (~88 mm)

• Depth: Deep datacenter type chassis (~800–1000 mm depending on configuration)

• Structure: High-rigidity industrial steel

• Access: Removable top cover for maintenance

• Mounting: Compatible with standard rack rails

Designed for high-density bay integration with optimized front-to-rear airflow management.

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Motherboard & Internal Architecture

• Processor Socket: SP5 (LGA-6096)

• Compatible Processors:

  • AMD EPYC™ 9004 series (Zen 4)

  • AMD EPYC™ 9005 series (Zen 5)

• Supported CPU TDP: up to ~400 W

Memory

• Up to 12 DDR5 ECC Registered slots

• High-frequency memory support optimized for datacenters

• Maximum capacity reaching several terabytes depending on installed modules

Expansion Slots

• Up to 8 PCIe 5.0 slots

• High bandwidth suitable for GPUs and high-speed network cards

Server Management

• Integrated BMC controller (remote management)

• iKVM support (remote console)

• Comprehensive hardware monitoring (temperature, power, fans)

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GPU Support

• Up to 4 dual-slot GPUs

• Full Height / Full Length format

• Support for AI accelerator cards and scientific computing

• Internal architecture optimized for direct GPU power delivery

• Dedicated high-current power distribution

Designed for AI, Deep Learning, inference, GPU rendering, and HPC workloads.

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Storage

• Up to 6 hot-swap bays on the front

• NVMe / SATA / SAS support (depending on configuration)

• RAID capability via additional controller

• High-performance storage for intensive workloads

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Power Supply

• Configuration: 1+1 redundant

• Power up to 2600 W

• 80 PLUS Titanium certification

• Hot-swappable modules

• Optimized power distribution for CPU + GPU

Suitable for configurations with 4 high-power GPUs.

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Cooling System

• Front → rear airflow design

• CPU / GPU thermal partitioning

• High static pressure fan wall

• Hot-swappable fans

• Dissipation adapted for 400W CPUs and multiple GPUs

• 24/7 datacenter environment compatible design

Optimized to maintain thermal stability under continuous AI load.

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Networking

• Integrated Ethernet interfaces

• Ability to add PCIe network cards (25G / 100G depending on configuration)

• Dedicated management port

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Software Compatibility

• Linux (Ubuntu Server, RHEL, etc.)

• Windows Server

• Hypervisors (VMware, Proxmox, etc.)

• AI environments (CUDA, ROCm depending on GPU)

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Use Cases

• Artificial Intelligence & Deep Learning

• High-Performance Computing (HPC)

• Big Data Analytics

• Heavy Virtualization

• Private Cloud Infrastructure