NVIDIA Tesla P40 - GPU computing processor - 1 GPU:t - Tesla P40 - 24 GB GDDR5 - PCIe 3.0 x16 malleihin Apollo pc40, ProLiant DL380 Gen9, DX380 Gen10, XL190r Ge
This product is end of life or currently not available.
Processor | |
Graphics processor | Tesla P40 |
CUDA | |
CUDA cores | 3840 |
Graphics processor family | NVIDIA |
Memory | |
Graphics card memory type | GDDR5 |
Discrete graphics card memory | 24 GB |
Ports & interfaces | |
Interface type | PCI Express x16 |
Energy management | |
Power consumption (typical) | 250 W |
Design | |
Number of slots | 1 |
Cooling type | Passive |
Performance | |
TV tuner integrated | |
Dual Link DVI | |
EAN | 0190017118253 |
Warranty | 1 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 RTX 8000 Graphics Accelerator
- NVIDIA Quadro RTX 4000 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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