The Open Compute Project is a way for organization to increase computing power while lowering associated costs with hyper-scale computing. This article is the 4th in a series from insideHPC that showcases the benefits of open computing to specific industries.
The Open Compute Project partners with leading CPU vendors such as Intel, AMD and ARM-based vendors to create reference designs that may be used by board and system vendors. These designs are bare-bones systems, with expansion options designed in for other types of I/O and storage. The reference design from Intel (REF) is 6.5 inches wide and 20 inches deep. These dimensions allow for three servers to be placed side by side in a newly designed Open Compute rack, increasing density.
The Open Compute Project Foundation was created to design the most efficient server, storage and related designs for the next generation of data centers in an open and collaborative development model. By sharing designs that maximize density, minimize power consumption and deliver expected performance, completely new computing environments can be developed, free from the limitations of legacy thinking.
The Open Compute Project, initiated by Facebook as a way to increase computing power while lowering associated costs with hyper-scale computing, has gained a significant industry following. This guide to Open Computing is design to help organizations optimize their HPC environment to achieve higher performance at a lower operating cost.
“Facebook had the forethought to create the Open Compute Foundation and share IP from designing a highly efficient computing infrastructure at an extremely low cost. We are now building on that collaborative development model to bring expanded flexibility with regard to form factors, processors and configurations for a broad range of customer requirements.”
“Powered by Intel’s Xeon E5-2600 v3 processor, Penguin Computing’s Tundra OpenHPC platform delivers density, performance and serviceability for demanding and extraordinary customers. Built to be compatible with Open Compute Open Rack specifications, the Tundra OpenHPC platform provides customers with a powerful and compact HPC server designed to reduce infrastructure costs when moving to the next generation of technology.”
Penguin Computing just announced the Altus Altus 2a30, a building block for the first application optimized accelerated processing unit (APU) clusters, making seamless GPU and CPU memory sharing on clusters a reality based on heterogeneous system architecture (HSA) from AMD. The shared memory capability involves very lightweight context switches to switch instantaneously between the GPU and CPU, whichever code runs best at a given moment.
“Today’s High Performance Computing environments are more demanding than ever. To meet the needs of complex simulations and ever-increasing massive workloads, HPC clusters need to support faster, high core count processors, coprocessors, and higher node count clusters. Performance is key … but at what cost? In this webinar, you will learn about the factors that drive fabric performance and their impact on your investment in HPC; How the fabric is a key component of your overall HPC solution; and performance and price comparisons of some of the fabric choices available to you today.”