Produktbeskrivelse
|
NVIDIA Tesla P40 - GPU beregningsprocessor - 1 GPU'er - Tesla P40 - 24 GB
|
Enhedstype
|
GPU beregningsprocessor
|
Bus Type
|
PCI Express 3.0 x16
|
Grafik engine
|
1 GPU'er - NVIDIA Tesla P40
|
Hukommelse
|
24 GB GDDR5
|
CUDA kerner
|
3840
|
Dimensioner (B x D x H)
|
3.5 cm x 26.6 cm x 10.9 cm
|
Producentgaranti
|
1 års garanti
|
Designet for
|
Apollo pc40; ProLiant DL380 Gen9, DX380 Gen10, XL190r Gen10, XL190r Gen9, XL270d Gen10, XL270d Gen9; SimpliVity 380 Gen10; Synergy 480 Gen10
|
Produktdatablad |
|
Enhedstype |
GPU beregningsprocessor |
Bus Type |
PCI Express 3.0 x16 |
Grafik engine |
1 GPU'er - NVIDIA Tesla P40 |
CUDA kerner |
3840 |
Egenskaber |
Nvidia CUDA teknologi, NVIDIA Parallel DataCache, Dynamic Parallelism, Hyper-Q, NVIDIA Pascal GPU-teknologi |
Størrelse |
24 GB |
Teknologi |
GDDR5 SDRAM |
Båndbredde |
346 GBps |
Strømforbrug ved drift |
250 Watt |
Bredde |
3.5 cm |
Dybde |
26.6 cm |
Højde |
10.9 cm |
Vægt |
1 kg |
Service & Support |
Teknisk understøttelse - reservedele - 1 år |
Designet for |
HPE Apollo pc40 ¦ HPE ProLiant DL380 Gen9, DL380 Gen9 Base, DL380 Gen9 Entry, DL380 Gen9 High Performance, DL380 Gen9 Performance, DL380 Gen9 Scale-up SAP HANA Tailored Datacenter Integration Compute Block, DL380 Gen9 Special, DX380 Gen10, XL190r Gen10, XL190r Gen10 for HPE Ezmeral Container Platform, XL190r Gen9, XL270d Gen10, XL270d Gen10 for HPE Ezmeral Container Platform, XL270d Gen9 ¦ HPE SimpliVity 380 Gen10 G Node, 380 Gen10 H Node, 380 Gen10 Network Choice G Node, 380 Gen10 Network Choice H Node ¦ HPE Synergy 480 Gen10 Compute 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 Hewlett Packard Enterprise 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 extremely demanding 3D models.