HPE AMD Radeon Instinct MI25 Graphic Card - 16 GB HBM2

Do you require higher performance computation or graphics? Companies are being faced with greater computational and graphics requirements as large, complex computational models become more commonplace. Traditional CPU technology is no longer able to keep up with these increasing demands. AMD accelerators for HPE servers seamlessly integrate GPU computing with select HPE ProLiant server series for scale-out computational and graphical deployments. Designed specifically for power-efficient, high-performance supercomputing, they deliver dramatically higher application acceleration than a CPU-only approach for a range of scientific and commercial applications. The thousands of streaming processors of each AMD accelerator allows it to divide large computing or graphics tasks into thousands of smaller tasks that can be run concurrently, thus enabling much faster simulations and improved graphics fidelity for the most demanding 3D models.

What's new

• Introduction of new HPE AMD Radeon Instinct MI25 Accelerator Kit

Features

Increased Performance To Solve Problems in Minutes Instead of Hours

AMD accelerators speed up time required to complete single precision, floating-point operations used within simulations, video enhancement, signal processing, video transcoding, and digital rendering applications where high performance takes precedence over accuracy.

AMD accelerators speed up time required to complete double precision, floating-point operations used within computational fluid dynamics, structural mechanics, reservoir simulation, and aerodynamic applications where numerical precision is mission critical.

AMD accelerators are optimized for the OpenCL programming paradigm and libraries. They are enabled to implement new features such as shared virtual memory, nested parallelism, and generic address space.

AMD accelerators can be configured and monitored by HPE Insight Cluster Management Utility (CMU). HPE Insight CMU monitors and displays GPU health such as temperature.

AMD accelerators speed up time required to complete half-precision, floating-point operations used for large-scale machine intelligence and deep learning.