AMAX Launches Converged Solutions Upgraded With Latest Intel® Xeon® PhiTM X200 Product Family

AMAX, a leading provider of Cloud/IaaS, GPU, HPC and Server Appliance platforms, announced today that its diverse product lines, including Converged Solutions and AMAX HPC Clusters, are now available integrated with the latest Intel® Xeon® Phi™​ x200 product family (formerly codenamed Knights Landing).

The new Intel® Xeon Phi™ platform is a 14nm many-core x86 CPU architecture that offers 7x more bandwidth per processor than Intel® Xeon E5-2600 v3 processors, with integrated Intel® Omni-Path fabric to increase price-per-performance and compute density. All without the need for GPU integration.

AMAX Converged Solutions are customizable as twin and quad-node options packed into a compact server form factors. These high-density servers offer a cluster’s worth of compute, storage and networking capabilities, making them ideal for HPC, data center and mission-critical business applications.

The first of an upcoming series of Phi-compatible systems is ServMax XK-2401XP, a 2U Quad system featuring a single Phi per node for up to 72 cores, up to 384GB RAM per node and either 16x 2.5” drives or 12x 3.5 drives per system.

The new generation of Intel Phi co-processor represents an exciting new form factor for parallel computing without being too disruptive,” said Dr. Rene Meyer, Director of Product Development, AMAX. “It’s essentially a GPU within a CPU form factor using Intel’s Silvermont Atom architecture that doesn’t require any changes to your existing IT infrastructure.”

As a Platinum level partner of the Intel® Technology Provider Program, AMAX delivers enhanced, energy-efficient performance for data-intensive business applications based on the latest parallel computing platforms based on the Intel® Xeon® Phi™​ processors, as well as the Intel® Xeon® processor E5-4600 v3 series.

To learn more about AMAX Converged Solutions and the AMAX HPC Cluster Series, please visit or contact AMAX

Source: AMAX


Categories: Computer Hardware, Multi- and Parallel Processing, Information Technology

Tags: GPGPU. GPU, HPC, Intel, NVIDIA Tesla, Parallel Computing, Phi, Processor, Server Board, Xeon

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