Ethernet 64P 400G Fabric Switch - NVIDIA SN5400

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VAST SKU: ETH-NVMEF-1X64-400G

NVIDIA OPN:  SN5400 - 920-9N42C-00RB-7C0

Configurations


Switch

Switch Speed

Ports

Connectors

SN5400

400G

64

+2

Ports #1-64 - QSFP-DD

Ports #65-66 - QSFP28

Specification


Switch

Switch:

  • SN5400

Supported Speeds:

  • Ports #1-64: 10/25/40/50/100/200/400GbE

  • Port #65-66: 1/10/25GbE

Throughput:

  • 25.6Tb/s

CPU:

  • Intel x86 Xeon, Hexa-core Coffee Lake E-2276ME w/secured-boot

PCIe:

  • 4x Gen 3.0

Switch:

  • NVIDIA Spectrum®-4

Memory:

  • 32GB DDR4 RAM, 160G SSD

Environmental Data

Dimensions:

  • 3.39” × 17.2’’ × 28.3’’

    86.2mm (H) × 438mm (W) × 720mm (D)

Weight: 

  • 23.5Kg

Mounting:

  • 19” Rack mount

Airflow

  • C2P

Input Voltage:

  • 2x, High Line, Rated Vac 220V-240V Vac Minimum 208 Vac Maximum 264 AC current rating 16A 50/60Hz

  • Note: Two power cords are provided for each power supply unit in order to meet the electrical requirements of various regions. Make sure to use the cord that meets the power requirements of your country or region.

Power Consumption:

  • Typical Power Consumption with passive Cables 670W

Temperature:

  • Operational: 0° to 40°C

  • Non-Operational: -40° to 70°C

Humidity:

  • Operational: 10% - 85% non-condensing

  • Non-Operational: 10% - 90% non-condensing

Altitude:

  • 3050m

Noise Level:

Certifications

Safety /EMC

  • CB

  • cTUVus

  • CE

  • CU

  • S_Mark

  • FCC

  • VCCI

  • ICES

  • RCM

  • BSMI

  • KCC

  • CCC

RoHS:

  • RoHS compliant

Manufacturer Documentation


https://docs.nvidia.com/networking/display/sn5000/specifications

https://docs.nvidia.com/networking/display/nvidia-spectrum-4-sn5000-2u-switch-systems-hardware-user-manual.pdf

Product Images


Front:

The image depicts an NVIDIA DGXx series GPU card, which is designed to power high-performance computing and AI applications by leveraging its its advanced tensor cores for efficient deep learning workloads.

This particular model showcases multiple GPUs integrated into one chassis, potentially allowing for increased computational power through parallel processing capabilities, making it ideal for complex data analysis tasks in industries such as finance, healthcare, and scientific research.

Rear:

The image depicts a side view of four server racks, each equipped with multiple large fans and internal cooling systems, designed to manage high-temperature environments in datacenter settings.