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Tech Leaders Unite to Release New Open Server Standard

#artificialintelligence

SILICON VALLEY, CA - 14 Oct 2016: Technology leaders AMD, Dell EMC, Google, Hewlett Packard Enterprise, IBM (NYSE: IBM), Mellanox Technologies, Micron, NVIDIA and Xilinx today announced a new, open specification that can increase datacenter server performance by up to 10x, enabling corporate and cloud data centers to speed up big data, machine learning, analytics, and other emerging workloads. Servers and related products based on the new standard are expected in the second half of 2017. OpenCAPI sets a new standard for the industry, providing a high bandwidth, low latency open interface design specification built to minimize the complexity of high-performance accelerator design. Capable of 25Gbits per second data rate, OpenCAPI outperforms the current PCIe specification which offers a maximum data transfer rate of 16Gbits per second. Companies in finance, Internet services, retail, hospitality, medical, and automobile manufacturing are increasingly turning to data-intensive workloads such as machine learning, advanced analytics and other rapidly emerging technologies for competitive advantage.


Google, IBM, and others team up to hasten data transfers in computers

PCWorld

Computational workloads are growing, and processors, memory, and storage are getting faster at a blazing pace. Emerging technologies could leave computers choking for bandwidth. The potential chokepoint worries companies like Google, IBM, Samsung, and Dell, which are moving to remedy the problem. New specifications from two new consortia will bring data unprecedented boosts in data transfer speeds to computers as early as next year. OpenCAPI Consortium's connector specification will bring significant bandwidth improvements inside computers.


Tech supergroups formed to push PC data transfers to blazing-fast speeds

#artificialintelligence

Computational workloads are growing, and processors, memory, and storage are getting faster at a blazing pace. Emerging technologies could leave computers choking for bandwidth. The potential chokepoint worries companies like Google, IBM, Samsung, and Dell, which are moving to remedy the problem. New specifications from two new consortia will bring data unprecedented boosts in data transfer speeds to computers as early as next year. OpenCAPI Consortium's connector specification will bring significant bandwidth improvements inside computers.


Google, IBM, Dell EMC: We can make servers that are 10 times faster

ZDNet

OpenCAPI's server internal schematic shows the components of the new open specification. Some of the world's largest technology firms have announced a specification for a technology aimed at boosting server performance by up to 10 times. The OpenCAPI specification outlines the architecture for a new interface that would allow server CPUs to swap data with hardware accelerators, such as Field Programmable Gate Arrays (FPGAs) -- as well as memory, network and storage -- more rapidly than is possible today. OpenCAPI has been released by a consortium led by AMD, Dell EMC, Google, Hewlett Packard Enterprise, IBM, Mellanox Technologies, Micron, NVIDIA and Xilinx. The consortium claim OpenCAPI (Open Coherent Accelerator Processor Interface) will be necessary if the performance of computers is to continue to grow at the pace it has in the past.


IT majors announce open standard for cloud data center server designs

#artificialintelligence

AMD, Dell EMC, Google, Hewlett Packard Enterprise, IBM, Mellanox Technologies, Micron, NVIDIA and Xilinx announced a new, open specification that can increase datacenter server performance by up to 10 times. The new standard is called Open Coherent Accelerator Processor Interface (OpenCAPI). It is an open consortium to provide a high bandwidth, low latency open interface design specification. It will enable corporate and cloud data centers to speed up big data, machine learning, analytics, and other emerging workloads. Servers and related products based on the new standard are expected in the second half of 2017.