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NVIDIA Tesla P40 - GPU computing processor - Tesla P40 - 24 GB GDDR5 - PCIe 3.0 x16 - ei tuuletinta malleihin ProLiant DL380 Gen10, DL385 Gen10

ID: Q0V80C
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Key Specifications

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Specifications
Description
Store availability
Delivery
Price development
Processor
Graphics processorTesla P40
CUDAcheckmark
CUDA cores3840
Graphics processor familyNVIDIA
Peak floating point performance (single precision)12000 Gflops
Memory
Graphics card memory typeGDDR5
Memory bandwidth (max)346 GB/s
Discrete graphics adapter memory24 GB
Ports & interfaces
Interface typePCI Express x16
Weight & dimensions
Weight1.07 kg
Height34.8 mm
Width266.7 mm
Depth111 mm
Energy management
Power consumption (max)250 W
Other features
Compatible productsProLiant DL380 Gen9, ProLiant XL190r
Design
Cooling typePassive
Performance
TV tuner integratedcross
Dual Link DVIcross
EAN0190017423869
Warranty1 year
Source: Icecat.biz

Do you require higher performance computation for deep learning, high-performance computing (HPC) workloads, or graphics?

Companies are facing greater computational and graphics requirements as large and 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 GPU computing with select HPE server families. Designed 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.

What's new
- NVIDIA Quadro P1000 Graphics Accelerator.
- NVIDIA Quadro P2200 Graphics Accelerator.

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 data sets 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 Complete.
- NVIDIA accelerators can be configured and monitored by HPE Insight Cluster Management Utility (CMU). HPE Insight CMU monitors and displays GPU health and temperature, as well as installs and provisions the GPU drivers and CUDA software.

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