Our use of cookies at Zones
At Zones, we use cookies to provide you with a better browsing experience. By continuing to use our site, you consent to our use of cookies. Please click "Accept" to give us your consent to load all website cookies. Thank you for visiting Zones!
- Price:
$389.99
AMD Radeon Pro WX2100 - graphics card - Radeon Pro WX 2100 - 2 GB
AMD Radeon Pro WX2100 - graphics card - Radeon Pro WX 2100 - 2 GB
- Price:
$389.99
- Availability:
- Mfr #: Q1P47A
- UNSPSC #: 43201401
- Item #: 005184234 105373650 50762443
- Add to Shopping List
- cnet cat code #: 10060801
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 cores 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 demanding 3D models.
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 aerodynamics applications where numerical precision is mission critical. AMD accelerators are optimized for the OpenCL programming paradigm and libraries. They are enabled to implement advanced features such as shared virtual memory, nested parallelism, and generic address space.
|