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Tag Archives: Open Compute Project

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Amphenol Arrives at OCP Event in San Jose

Amphenol Arrives at OCP Event in San Jose

The Open Compute Project (OCP) Global Summit is set to be a pivotal event for Amphenol, a leading global interconnect solutions provider. From October 17th to 19th, Amphenol will be at the San Jose Convention Center, unveiling an array of innovative products designed to revolutionize the world of data center connectivity.

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Solutions for OCP Server and Storage

Solutions for OCP Server and Storage

The Open Compute Project (OCP) is a collective of industry experts joining forces to revamp hardware technology in order to meet the growing demands on computing infrastructure. Established in 2011, the Open Compute Project Foundation (OCP) leverages the benefits of open source and teamwork to accelerate innovation in data center technology, including networking equipment, servers, storage devices, and scalable rack designs.

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Amphenol's Solutions for OCP Rack and Power

Amphenol's Solutions for OCP Rack and Power

Open Compute Project, also known as OCP, is a community focused on redesigning hardware technology for hyper-scale data centers, telecom & colocation providers, enterprise IT users, and many more markets. OCP is a collaborative initiative launched in 2011 to design and share energy-efficient data center hardware designs, to improve computing efficiency, and reduce the environmental impact of data centers.

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Profiling Connectivity in Machine Learning Applications

Profiling Connectivity in Machine Learning Applications

The Expected Rise of Machines The past decade has witnessed massive advancements in hyperscale datacenters and rise in connected devices leading to the annual global data growth exceeding several trillion gigagbytes. High performing computers have been set up in centrally located datacenters to use these zettabytes to aid the humanity in achieving new heights with exploring Artificial Intelligence (AI). Though Neural networks, that form the foundation for Machine Learning (ML) or Deep Learning [Read more]