
Subscribe To Our Newsletter!
Subscribe to the newsletter to stay up to date with the latest news and most useful
Newsletter
↑
Back to Top
Product Overview |
|---|
The NVIDIA Spectrum SN5400 is a powerful rack-mountable switch featuring 64 x 400G QSFP56-DD and 2 x 25G SFP28 ports, designed to meet the demands of high-throughput networking. With front to back airflow and robust architecture, it’s built for hyperscale data centers, offering efficiency, speed, and scalability for next-gen enterprise networks. |
General Information |
|
|---|---|
| Brand | Nvidia |
| Part Number | 920-9N42C-00RB-7C0 |
| Condition | Refurbished |
Technical Information |
|
|---|---|
| Form Factor | Rack-Mountable |
Physical Characteristics |
|
|---|---|
| Weight | 3.00 |
Product Description |
|---|
The NVIDIA Spectrum SN5400 is a high-density data center switch engineered for massive throughput and low latency. With 64 x 400 Gigabit QSFP56-DD ports and 2 x 25 Gigabit SFP28 ports, it offers unmatched connectivity and scalability for next-gen network infrastructures, while front to back airflow supports effective cooling in high-performance environments. Key Features
Ideal for large-scale data centers and cloud service providers, this switch supports modern workloads such as AI, HPC, and large-scale storage fabrics, delivering the performance and scalability required for advanced networking environments. |
Use Cases |
|---|
The NVIDIA Spectrum SN5400 switch is typically deployed in hyperscale data centers and enterprise environments that require ultra-high bandwidth and low-latency connectivity. It is well-suited for network architects and infrastructure teams managing large-scale virtualization, AI workloads, or cloud service platforms demanding dense 400G uplinks. How It's Used:
By providing a high-density 400G port count combined with optimized thermal management, the Spectrum SN5400 supports growth in network demands without compromising operational efficiency. Its design enables scalable expansion while maintaining performance consistency across demanding workloads. |