Hewlett Packard Enterprise J0G94A graphics card NVIDIA GRID K1 16 GB GDDR3

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.

NVIDIA Accelerators for HP servers seamlessly integrate GPU computing with select HP ProLiant Server series 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 CUDA® cores of each NVIDIA 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

Introduction of new NVIDIA GPU accelerators for servers

Features
Increased Performance To Solve Problems in Minutes Instead of Hours

The NVIDIA Accelerators improve computational performance which can dramatically reduce the completion time for parallel applications, offering quicker time to solutions.

Co-locating the NVIDIA® Kepler™-based Quadro or GRID GPUs and computational servers in the data center so that they share rather than transfer large datasets, display refresh-rates improve greatly.

NVIDIA GRID GPUs are specifically designed to enable rich graphics in virtualized environments. Combined with the HP ProLiant WS460c Gen8 Graphics Server Blade with its Converged Infrastructure and workstation class end-user experience, the virtual desktop environment takes another leap forward.

NVIDIA GPU accelerators can be configured and monitored by HP 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.