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J0G95A - HP NVIDIA Tesla K80 dual GPU PCIe computational accelerator

MFG Part

J0G95A

Inventory

0

Condition

New

Availability

Available

Standard Warranty

Limited warranty - 1 year



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 HPE ProLiant Servers seamlessly integrate graphics processing unit (GPU) computing with select HPE ProLiant Server families. 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 deep learning, 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 extremely demanding 3D models.

Key Selling Points

  • The NVIDIA Accelerators for HPE ProLiant Servers improve computational performance, dramatically reducing the completion time for parallel tasks, offering quicker time to solutions.

Product Features

  • Increased Performance to Solve Problems Faster
    The NVIDIA Accelerators for HPE ProLiant Servers improve computational performance, dramatically reducing the completion time for parallel tasks, offering quicker time to solutions.
    Co-locating the NVIDIA Quadro or NVIDIA GRID GPUs with computational servers, large datasets can be shared, dramatically improving display refresh-rates.
    These GPUs are specifically designed to enable rich graphics in virtualized environments. Hewlett Packard Enterprise can satisfy NVIDIA GRID software via HPE Software Licensing and Management Service.
    Configured and monitored by HPE Insight Cluster Management Utility (CMU). HPE Insight CMU monitors and displays GPU health and temperature, and will also install and provision the GPU drivers and CUDA software.

Specifications

General
Device Type GPU computing processor - fanless
Bus Type PCI Express 3.0 x16
Graphics Engine 2 GPUs - NVIDIA Tesla K80
CUDA Cores 4992
API Supported OpenCL, DirectCompute
Features Nvidia CUDA technology, Error Correcting Codes (ECC) Memory, NVIDIA Parallel DataCache, Kepler GPU Architecture, Dynamic Parallelism, Hyper-Q, Nvidia SMX Engine
Memory
Size 24 GB
Technology GDDR5 SDRAM
Bandwidth 480 GBps
System Requirements
OS Required SuSE Linux Enterprise Server 11, Red Hat Enterprise Linux 5, Red Hat Enterprise Linux 6, Microsoft Windows Server 2012 R2
Miscellaneous
Power Consumption Operational 300 Watt
Compliant Standards WEEE
Width 1.5 in
Depth 10.5 in
Height 4.4 in
Weight 2.2 lbs
Compatibility Information
Designed For HPE ProLiant XL250a Gen9 Accelerator Tray