This site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site. Here are the instructions how to enable JavaScript in your web browser.

InfiniBand Long Haul Systems

NVIDIA^® Mellanox^® Long-Haul systems enable the seamless connectivity of remote InfiniBand data centers, storage or other remote InfiniBand platforms. It can extend the reach of InfiniBand to up to 80 kilometers, enabling native InfiniBand connectivity between remote data centers, or between data center and remote storage infrastructures, for high availability and disaster recovery.

MetroX Systems

MetroX-2 and MetroX extend the availability of InfiniBand’s high data throughput, native Remote Direct Memory Access (RDMA) communications, and other advanced capabilities to enable native InfiniBand connectivity between remote data centers, or between data center and remote storage infrastructures, for high availability and disaster recovery. Users can easily and effectively migrate application jobs from one InfiniBand center to another, or combine the compute power of multiple remote data centers together for higher overall performance and scalability.

NVIDIA Mellanox InfiniBand long haul systems

Products

MetroX-2 Systems

Based on the 200Gb/s HDR InfiniBand Mellanox Quantum™ Switch, the MetroX-2 product family seamlessly connects InfiniBand data centers 10 and 40 km apart, enabling native RDMA connectivity across distributed compute or storage platforms.

Learn More

MetroX Systems

40Gb/s Long-Haul InfiniBand Switch systems support up to 80 kilometers of long-haul connectivity.

Learn More

Learn the Top Technology Drivers for Data Center Efficiency

Untold Secrets of the Efficient Data Center

In an independent research study, key IT executives identified one key technology that can be used to support cloud-scale data centers models. Read the report to find out what was the number one technology for delivering efficiency in the cloud and the key to top performance in AI and ML environments.

GET THE REPORT