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AMAX to Showcase Open Compute Project (OCP) Solutions for Hadoop at 2013 Hadoop Summit




FREMONT, CA — (Marketwired) — 06/25/13 — AMAX, a leading innovator of Dynamic Enterprise IT & High Performance Computing (HPC) solutions, today announced that it will be showcasing Open Compute Project (OCP) solutions for Hadoop with its PHAT-Data turnkey computing solutions at the 2013 Hadoop Summit in San Jose, CA, June 26-27. Hadoop data processing and analytics is typically done at an enormous scale and can greatly benefit from utilizing cost- & energy-efficient server technology. With the design goal of OCP being vanity free, low cost, and energy-efficient, Hadoop running on OCP hardware is an ideal platform for large-scale analytics.

As an official Solutions Provider for the OCP Foundation, AMAX is authorized to design, manufacture and distribute turnkey, racked compute & storage solutions based on OCP technology. AMAX-s leverage the latest open compute design concepts to improve server and storage cost effectiveness and ease of maintenance, and are designed from the ground up to maximize overall data center efficiency, combining an innovative form factor with leading-edge power efficiency that is designed and optimized for even the largest scale-out data center applications. With up to an estimated 38% savings in server cost, 18% savings in power distribution, and 50% savings in HVAC cooling when compared to traditional data center infrastructures, data centers taking full advantage of OCP designs have the potential to bring massive savings and generate enormous ROI.

AMAX also previously announced the version 2.0 release of its award-winning platform — a comprehensive, performance-tuned package for Big Data processing and analytics enabled by the Intel® Distribution for Apache Hadoop. The PHAT-Data platform sports real-time big data processing and analytics, contains the core components of the Hadoop framework, and now simplifies the deployment of Hadoop clusters with integrated wizards and automated optimization tools, and secures data with multi-level access controls and Kerberos data encryption.

“The AMAX PHAT-Data analytics accelerator, with an Intel-verified 1-Terabyte Terasort time of only 33 minutes on a 5-node cluster, has been tuned and optimized to deliver near real-time big data processing and analytics,” said James Huang, Enterprise Product Manager at AMAX. “Combined with our Hadoop hardware platform design expertise and product flexibility, AMAX can either design using standard rack architectures or efficiency-optimized OCP architectures to build large-scale analytics platforms from the ground up, designed specifically for each client and their unique leads. AMAX is a true one-stop shop for Hadoop infrastructure, designed, manufactured and optimized for each individual project.”

AMAX provides a series of configurable racked systems that offer organizations unlimited Enterprise & HPC configuration options and virtualization capabilities optimized for any and every application. AMAX has designed a range of racked systems engineered for CPU-intensive jobs, GPU-accelerated applications, and multi-petabyte-scale storage deployments. For more information on AMAX products and services, visit: .

Founded in 1979, AMAX specializes in engineering and manufacturing advanced Cluster, Server and Storage Solutions. Headquartered in Fremont, California, AMAX globally operates ISO:9001/14001/ TL9000 certified and UL approved facilities throughout North America and China to service the US, Canadian, LTAM, APAC and EMEA regions. AMAX-s expertise drives two key divisions that deliver customized computing solutions to a wide range of industries: AMAX-s Appliance Manufacturing Division provides efficient and top-of-the-line manufacturing solutions and global logistics to OEM customers while AMAX-s Enterprise & High Performance Computing Division provides innovative and scalable cluster, server, and storage products developed for HPC, Cloud, Virtualization and Big Data applications.

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Justin Quon
510-497-8939





Posted by on 25. June 2013. Filed under Business Intelligence, Hardware, Picture Gallery. You can follow any responses to this entry through the RSS 2.0. You can leave a response or trackback to this entry

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