
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 Lenovo 1m Mellanox HDR InfiniBand to 2x HDR100 Passive Copper Splitter QSFP56 Cable splits one high-speed HDR InfiniBand connection into two HDR100 outputs. It fits neatly into server racks and HPC setups where efficient data splitting is needed without extra power or active electronics, maintaining strong throughput and minimal latency. |
| General Information | |
|---|---|
| Brand | Mellanox |
| Part Number | SC17A40960 |
| Technical Information | |
|---|---|
| Cable Family | Network Copper |
| Cable Type | Direct Attach Cable (DAC) |
| Data Rate | 200Gb/s (HDR), 100Gb/s (HDR100) |
| Cable Length | 1 m |
| Compatibility | Mellanox/NVIDIA HDR InfiniBand; Lenovo servers and switches with QSFP56 ports; QSFP56-compatible HDR/HDR100 devices |
| product type | Direct Attach Cable (DAC) |
| Product Category | Network Cables |
| Connectivity | |
|---|---|
| Connector A | QSFP56 |
| Connector B | QSFP56 |
| Cable Connector Gender | Male to Male |
| Connector Type | QSFP56 |
| Physical Characteristics | |
|---|---|
| Form Factor | QSFP56 1x-to-2x breakout/splitter |
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
This Lenovo SC17A40960 cable is designed to split a single HDR InfiniBand connection into two HDR100 links, making it ideal for high-performance computing environments. Often found in data centers and server clusters, it allows efficient connectivity without additional active components. Built for IT professionals and system integrators, this splitter is commonly used to optimize existing infrastructure and enhance data transfer capabilities while minimizing cabling complexity. Key Features
This splitter cable is typically deployed within high-performance clusters where maximizing port utilization and maintaining signal integrity is crucial. It helps streamline cabling layouts and supports demanding applications in scientific computing, financial modeling, and large-scale simulations. |