InfiniBand Applications and Markets

InfiniBand is increasingly becomes an interconnect of choice in not just high performance computing environments, but also in mainstream enterprise grids, data center virtualization solutions, storage, and embedded environments. The low-latency and high-performance of InfiniBand coupled with the economic benefits of its consolidation and virtualization capabilities provides end-customers the ideal combination as they build out their applications. Learn how InfiniBand technology can take your solution to the next performance level:

Today’s data centers need an agile infrastructure that incorporates ongoing improvements in computer, storage, networking, and application technologies, and empowers IT to support changing business processes. InfiniBand fabric solutions enable IT organizations to turn computing and storage resources from monolithic systems to service-centric shared pool of resources consisting of standardized components that can be dynamically provisioned and accessed through an intelligent network.

With InfiniBand's proven scalability and efficiency, small and large clusters easily scale up to thousands of nodes. With 20Gb/s node-to-node and 60Gb/s switch-to-switch solutions available, and a roadmap to 120Gb/s, InfiniBand has proven its performance in personal supercomputing, workgroup, departmental, divisional, and enterprise supercomputers solutions.

InfiniBand’s high bandwidth, low latency, dedicated I/O channels, QoS and RDMA features can lower capital expenses and operating costs making it the right choice for storage.

InfiniBand has emerged as an ideal solution for many embedded applications such as high-speed I/O links, reliable backplanes, and scaleable switch fabrics.  With reliability, availability, and serviceability (RAS) built into the architecture, InfiniBand’s superior capabilities are enabling outstanding functionality in non-traditional systems.

High performance compute clusters require a high performance interconnect technology providing high-bandwidth, low-latency and low CPU overhead resulting in high CPU utilization for the application’s compute operations.