Lenovo
NDR200 QSFP112 IB TRNSCV
Out of Stock
NDR200 QSFP112 IB TRNSCV Lenovo 200G QSFP112 InfiniBand | Enterprise, Rack
Lenovo
MPN: 4TC7A81831
$3,355.00$3,489.00
Free shipping on orders over $500
Authorized Dealer — Full manufacturer warranty
Key Features
- QSFP112 form factor
- 200 Gbps data rate
- InfiniBand connectivity
- High-density cluster interconnect
- Low-latency fabric design
- Lenovo-branded transceiver
- Rack-scale deployment fit
- Accelerate fabric throughput using 200 Gbps InfiniBand connectivity
Move data across high-performance fabrics with the Lenovo NDR200 QSFP112 IB TRNSCV. This QSFP112 InfiniBand transceiver is designed for environments that depend on fast, low-latency interconnects between compute, storage, and accelerator nodes. At 200 Gbps, it gives infrastructure teams the bandwidth headroom needed for modern HPC and AI-oriented workloads.
QSFP112 packaging supports compact, high-density deployment patterns that matter in crowded racks and scale-out clusters. For teams building InfiniBand-based architectures, the module helps maintain consistent link performance across nodes while keeping the optics layer aligned with the demands of parallel processing and distributed storage traffic.
Compared with lower-speed alternatives, this transceiver is aimed at environments where network fabric is part of the application performance path. That makes it a strong fit for GPU clusters, tightly coupled compute environments, and storage-heavy systems that need more than standard Ethernet throughput. When the fabric must keep pace with the workload, this module belongs in the design.
Ideal For
- GPU cluster interconnects in AI training environments
- HPC node-to-node fabric links
- Scale-out storage and compute backplane connectivity
- High-density InfiniBand deployments in enterprise data centers
Why This Product
- 1Targets InfiniBand fabrics instead of standard Ethernet links
- 2Delivers 200 Gbps for compute-heavy and storage-heavy clusters
- 3Uses QSFP112 packaging for dense rack deployment
- 4Better suited to HPC and AI fabrics than general-purpose optics


