ASUS · Server

ASUS RS520QA-E13-RS8U/3200W Server

Rack (2U)

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Form factor Rack (2U)

ASUS RS520QA-E13-RS8U/3200W Server is a server from ASUS, with form factor Rack (2U). It came out in 2025.

Released: 2025-10-10

Specifications

Key specs

Form factor: Rack (2U)
Released: 2025-10-10
Part number: 90SF04A1-M00050
EAN / UPC: 4711636158305

Processor

Processor socket: Socket SP5
Processor manufacturer: AMD
Number of processors supported: 1

Memory

Number of DIMM slots: 20
Supported memory types: DDR5-SDRAM
Supported DIMM module capacities: 32GB, 64GB, 128GB, 96GB
Maximum internal memory: 2.56 TB

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Storage

Number of storage drives supported: 4
Hot-swap HDD bays: Yes
Number of 2.5" bays: 2
Storage drive sizes supported: 2.5,M.2
Supported storage drive types: HDD & SSD
Supported storage drive interfaces: M.2, Serial ATA, Serial Attached SCSI (SAS)

Graphics

On-board graphics card model: Aspeed AST2600
On-board graphics card memory: 64 MB

Network

Ethernet LAN: Yes

Ports & interfaces

USB 3.2 Gen 1 (3.1 Gen 1) Type-A ports quantity: 2
Ethernet LAN (RJ-45) ports: 1
VGA (D-Sub) ports quantity: 1

Expansion slots

PCI Express x16 (Gen 5.x) slots: 1

Design

Chassis type: Rack (2U)
Product colour: Silver
LED indicators: Power, LAN, HDD
Cooling type: Active
Number of fans: 4 fan(s)

Power

Power supply: 3200 W

Operational conditions

Operating temperature (T-T): 10 - 35 °C
Storage temperature (T-T): -40 - 60 °C
Storage relative humidity (H-H): 20 - 90%

Weight & dimensions

Width: 446 mm
Depth: 900 mm
Height: 87.2 mm
Weight: 23.7 kg

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About this product

CXL Memory Expander Ready High memory capacity, High density computing ASUS RS520QA-E13 supports optional CXL memory expansion in a single-socket 2U4N form factor, enabling greater flexibility and scalability for high-density workloads. It achieves up to 5TB of memory capacity per node with CPU memory operating at 1DPC speed to deliver high memory bandwidth –making it an ideal solution for memory-intensive applications in modern data centers, especially suited for EDA workloads and HPC.