| Management number | 241248695 | Release Date | 2026/07/17 | List Price | US$30.80 | Model Number | 241248695 | ||
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The Tripp Lite N282-20N-BK is a QSFP+ to QSFP+ passive direct attach copper cable designed to deliver data transfer speeds up to 40 Gbps over a short 0.5 meter (20-inch) connection. It is ideal for linking switches, servers, or storage devices within the same rack, making it a practical choice for top-of-rack network architectures where space and power efficiency are critical. Supporting 10.3125 Gbps per channel across four channels, this cable meets the 40GBase-CR4 specification and works seamlessly with SDR, DDR, and QDR signaling technologies.
This cable is designed to connect QSFP+ ports on switches, servers, and storage devices within the same rack or cabinet. It supports a range of signaling technologies including SDR, DDR, and QDR, making it compatible with various high-speed networking and storage platforms such as SAS, Fibre Channel, and SONET. The standardized SFF-8436 QSFP+ connectors ensure broad interoperability with equipment that follows the QSFP+ MSA specifications.
Installation is straightforward thanks to the pull-to-release latch mechanism on each connector, which allows technicians to secure or remove the cable quickly without special tools. The short 0.5 meter length helps reduce cable clutter and maintains proper airflow, which is essential in high-density rack environments. This cable is well suited for data centers and enterprise server rooms where efficient cable management and reliable connections are priorities.
The Tripp Lite N282-20N-BK fits well in data centers, high-performance computing clusters, and enterprise server rooms where short-range, high-speed connections are needed between rack-mounted devices. Its low power draw and reduced heat output make it a strong choice for environments that prioritize energy efficiency and thermal management. This cable is particularly useful for network administrators managing top-of-rack switch architectures and those requiring dependable performance for virtualization, analytics, and data replication workloads.
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