200G QSFP56 to 4×50G QSFP56 Breakout Cable 0.5m
- 通常価格
- $180.00
- セール価格
- $180.00
- 通常価格
-
VIVIBIT 200G QSFP56 to 4×50G QSFP56 Passive DAC Breakout Cable, purpose-built for connection between the E1001 storage & networking backbone and DGX-Spark desktop supercomputing cluster nodes. It splits a single 200G port into four independent 50G channels for ultra-low latency and highly efficient data transmission.
Universally compatible with NVIDIA, Mellanox, Cisco, Arista and most QSFP56 MSA-compliant hardware. An ideal solution for in-rack interconnection, HPC clusters, AI computing workloads and short-range high-speed enterprise networking.
- 200G QSFP56 to 4×50G QSFP56 Breakout Cable 0.5m, Compatible with NVIDIA
- 0.5m cable compatible with DGX Spark.
Product Title
200G QSFP56 to 4x50G QSFP56 Breakout Cable 0.5m, Compatible with NVIDIA – 0.5m (1.6ft)
Overview
This 200G QSFP56 to 4x50G QSFP56 Breakout Cable provides a high-performance and cost-effective interconnect solution for data center and high-performance computing environments. It complies with the QSFP56 form factor standards, featuring a breakout design that connects a 200G port to four independent 50G ports.
Key Features
- Interface： 200G QSFP56 to 4x 50G QSFP56 (Breakout)
- Cable Type： 30AWG Passive Twinax Copper
- Length： 0.5m (1.6ft)
- Compatibility： Designed for VIVIBIT,NVIDIA,Mellanox, Cisco, Arista, and other major brands
- Low Power Consumption： Passive design, no external power required
- Cost-Effective： Ideal for short-range, in-rack interconnects
Applications
- Top-of-Rack (ToR) to Server connections
- High-Performance Computing (HPC) clusters
- Breakout mode supporting 200G to 4x50G
Compatible with (Including but not limited to）
- VIVIBIT
- NVIDIA
- Arista
- Cisco
- Works with most QSFP56 MSA compliant hardware
Package Includes
- 1 x 200G QSFP56 to 4x50G DAC Breakout Cable
Technical Specifications
| Brand | VIVIBIT |
| model | 200G QSFP56 to 4×50G QSFP breakout cable |
| Connector Type | QSFP56 |
| Length | 0.5m |
| Compatible Devices | E1001、DGX Spark, GIGABYTE AI TOP ATOM, etc |