ASUS · Server

ASUS RS700A-E11-RS12U Server

Rack (1U)

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Form factor Rack (1U)

ASUS RS700A-E11-RS12U Server is a server from ASUS, with form factor Rack (1U). It came out in 2024.

Released: 2024-03-28

Specifications

Key specs

Form factor: Rack (1U)
Released: 2024-03-28
Part number: 90SF01E2-M00K20
EAN / UPC: 4711387520208

Processor

Built-in processor: Yes
Processor socket: Socket SP3
Number of processors supported: 1

Memory

Number of DIMM slots: 32
Supported memory types: DDR4-SDRAM
Supported DIMM module capacities: 16GB, 32GB, 64GB, 128GB, 256MB
Maximum internal memory: 4 TB

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Graphics

Discrete graphics memory type: GDDR6

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

Design

Chassis type: Rack (1U)
Product colour: Silver

Power

Power supply: 1600 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: 842.5 mm
Depth: 449 mm
Height: 43.9 mm
Weight: 18.9 kg

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About this product

AMD EPYC 7003 Series Processors The latest AMD EPYC™ 7003 series processors are the new standard for modern data centers. AMD was first with X86 multi-chip-module server CPUs and continues to innovate with the 3rd Gen EPYC processors, including up to 32MB of L3 cache per core and synchronized fabric and memory-clock speeds designed for improved performance. PCIe 4.0 Ready PCI Express® (PCIe®) 4.0 delivers 16 GT/s bandwidth, which is double the speed of PCIe 3.0, offering lower power consumption, better lane scalability and backwards compatibility. ASUS RS700A-E11 servers are PCIe 4.0 ready to support a diverse array of graphics, storage and networking – enabling flexible scalability for demanding or increasing workloads. GPU and FPGA Support ASUS RS700A-E11 servers feature a powerful GPU architecture that supports one dual-slot GPU such as NVIDIA A100 in one 1U system to enable easy scale-up in order to meet the demands of AI and high-performance computing (HPC), and to securely run workloads in virtualized environments.

Datasheet (PDF)