What is Hyperscale Computing?

Hyperscale computing refers to the facilities required in distributed computing environments to efficiently scale from a few servers to thousands, and is commonly used in environments such as Big Data and Cloud Computing. Hyperscale architecture is typically made up of individual small servers, called “Nodes” which are grouped together to provide inexpensive computing, storage, and networking.

Why Hyperscale?

The explosion in demand for compute, storage, and networks has paved the way for new innovation on how data-centers are designed, operated, and managed. With hyperscale computing, technology giants are providing organizations with highly efficient solutions to manage specific server and storage needs. In addition, many organizations also benefit from the initial low–cost investment needed to implement the infrastructure; and as demand continues to rise, the infrastructure is simply expanded by adding nodes to the system which are then called “clusters”—resulting in increased system workloads. Or removing the nodes when demand lulls, which will save up on energy and cut down operational costs.

Who is Involved?

 In 2011, Facebook led the way and founded the Open Compute Project (OCP), which focused on redesigning hardware technology to efficiently support the growing demands on computing infrastructure. Since then, many technology giants have joined forces in order to share technology standards and achieve greater overall efficiency in data centers. Other open source data hardware committees include Open19 (created by LinkedIn) and Open Data Center Committee (ODCC) which is headed by Huawei and Alibaba.

Most recently, we have successful provided custom solutions for the Open Compute communities using our BarKlip® IO cable assemblies and many others connectors. Moving forward, we believe Hyperscale Computing is a technology movement which will continue to drive new power product technologies. 

Check out the quick slide summary below.