MPN R0W29C-RFB
Articol nr. W128821380
Starea stocului
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...
Passive
16 Giga Bites
GDDR6
320 GB/s
256 bit
ProLiant DL360 Gen10, DL380 Gen10, DL385 Gen10
33 cm
0,575 kg
5 cm
23,5 cm
No
No
PCI Express x16 3.0
70 Watt
Yes
2560
Tesla T4
NVIDIA
254400 Gflops
8100 Gflops
585 MHz
0,55 kg
29,21 cm
4,89 cm
38,1 cm
1 An(i)
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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