Accelerated Computing
Unprecedented performance with parallel computing

Accelerated Computing

Accelerated computing is often used in academic, scientific and engineering operations that require large amounts of computing power to execute complex calculations. These functions are carried out on specialized graphics processing units (GPUs) or coprocessors working in tandem with traditional CPUs to achieve faster real-world execution. These advanced solutions are accelerating applications around the world including energy-efficient datacenters in government labs, universities, enterprises, small-and-medium businesses, and any application requiring highly parallel workloads.

Empowering your IT infrastructure with accelerated computing solutions you can increase throughput efficiencies, support energy efficiency and increase application performance. Meet your data processing needs even faster with Accelerated Computing.
GPU Accelerated Computing
NVIDIA® Tesla®
Scientists can now crunch through petabytes of data up to 10x faster than with CPUs in applications ranging from energy exploration to machine learning. Plus, Tesla accelerators deliver the horsepower needed to run bigger simulations faster than ever before. For enterprises deploying VDI, Tesla accelerators are perfect for accelerating virtual desktops to any user, anywhere.
Coprocessor Accelerated Computing
Intel® Xeon® Phi™
Extracting extreme performance from highly parallel applications just got easier. Intel® Xeon Phi™ coprocessors, based on Intel® Many Integrated Core Architecture, complement the industry-leading performance and energy-efficiency of the Intel® Xeon® processor E5 family to enable dramatic performance gains for some of today’s most demanding applications.


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