All stock codes associated to this product
730874B21, 730874-B21, 2573411, 887758527412
Overview
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.
HPE NVIDIA Accelerators for HPE servers seamlessly integrate GPU computing
with select HPE ProLiant Server families for scale-out computational and
graphical deployments. Designed from the ground up for power-efficient, high
performance supercomputing, NVIDIA accelerators deliver dramatically higher
application acceleration than a CPU-only approach for a range of scientific and
commercial applications.
The thousands of NVIDIA CUDA cores of each accelerator allow 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
- Support for additional HPE ProLiant Servers.
Features
Increased Performance to Solve Problems in Minutes Instead of
Hours |
The HPE NVIDIA Accelerators improve computational performance which can
dramatically reduce the completion time for parallel applications, offering
quicker time to solutions.
Co-locating the HPE NVIDIA Quadro or HPE NVIDIA GRID GPUs and computational
servers in the data center so that they share rather than transfer large
datasets, display refresh-rates improve greatly.
HPE NVIDIA GRID GPUs are specifically designed to enable rich graphics in
virtualized environments. Combined with the HPE ProLiant WS460c Gen9 Graphics
Server Blade with its Converged Infrastructure and workstation class end-user
experience, the virtual desktop environment takes a leap forward.
Configured and monitored by HPE Insight Cluster Management Utility (CMU).
Insight CMU will monitor and display GPU health such as temperature, and will
also install and provision the GPU drivers and CUDA software.
Specifications
Dimensions
