HPE J0X21A - Nvidia Tesla M60 Dual GPU Module

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 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 Gen8 Graphics Server Blade with its Converged Infrastructure and workstation class end-user experience the virtual desktop environment takes a leap forward. HPE NVIDIA Accelerators can be 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.