NVIDIA Quadro P2000 - grafikkort - Quadro P2000 - 5 GB

Producent: Hewlett-Packard
Produkt nr: Q0V77A
EAN: 4549821056354
Varenummer: F2923978
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Producent: Hewlett-Packard
Produkt nr: Q0V77A
EAN: 4549821056354
Varenummer: F2923978

Varen kan pt. ikke skaffes eller er udgået. Kontakt evt. kundeservice for et alternativ


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Varen kan pt. ikke skaffes eller er udgået.
Kontakt evt. kundeservice for et alternativ.}
Producent: Hewlett-Packard
Produkt nr: Q0V77A
EAN: 4549821056354
Varenummer: F2923978

Varen kan pt. ikke skaffes eller er udgået. Kontakt evt. kundeservice for et alternativ


Billigste fragt 0,00 kr.

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(Gælder op til 20 kg)

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Produktbeskrivelse NVIDIA Quadro P2000 - grafikkort - Quadro P2000 - 5 GB
Enhedstype Grafikkort
Bus Type PCI Express 3.0 x16
Grafik engine NVIDIA Quadro P2000
Hukommelse 5 GB GDDR5
CUDA kerner 1024
Hukommelses interface 160-bit
API-understøttet OpenGL, DirectX
Dimensioner (B x D x H) 20.3 cm x 11.2 cm
Designet for Nimble Storage dHCI Large Solution with HPE ProLiant DL380 Gen10, Medium Solution with HPE ProLiant DL360 Gen10; ProLiant DL360 Gen10, DL380 Gen10, DL380 Gen9, DL560 Gen10, DL560 Gen9, DL580 Gen9, ML110 Gen10, ML30 Gen9, ML350 Gen10, ML350 Gen9

Produktdatablad

Enhedstype Grafikkort
Bus Type PCI Express 3.0 x16
Grafik engine NVIDIA Quadro P2000
CUDA kerner 1024
API-understøttet OpenGL, DirectX
Egenskaber Nvidia CUDA teknologi, Shader Model 5.1
Størrelse 5 GB
Teknologi GDDR5 SDRAM
Busbredde 160-bit
Båndbredde 140 GBps
Strømforbrug ved drift 75 Watt
Dybde 20.3 cm
Højde 11.2 cm
Vægt 250 g
Designet for HPE Nimble Storage dHCI Large Solution with HPE ProLiant DL380 Gen10, Medium Solution with HPE ProLiant DL360 Gen10 ¦ HPE ProLiant DL360 Gen10, DL360 Gen10 All Flash Server for Weka, DL360 Gen10 Base, DL360 Gen10 Compute Server for Cohesity DataPlatform, DL360 Gen10 Entry, DL360 Gen10 High Performance, DL360 Gen10 Low, DL360 Gen10 Network Choice, DL360 Gen10 Performance, DL360 Gen10 SMB, DL360 Gen10 SMB Network Choice, DL360 Gen10 Solution, DL380 Gen10, DL380 Gen10 Base, DL380 Gen10 Entry, DL380 Gen10 Entry SMB, DL380 Gen10 for Cohesity DataPlatform, DL380 Gen10 for SAP HANA Compute Block, DL380 Gen10 High Performance, DL380 Gen10 Network Choice, DL380 Gen10 NVMe All Flash Server for Datera, DL380 Gen10 Performance, DL380 Gen10 SMB, DL380 Gen10 SMB Networking Choice, DL380 Gen10 Solution, 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, DL560 Gen10, DL560 Gen10 Base, DL560 Gen10 Entry, DL560 Gen10 Performance, DL560 Gen9, DL560 Gen9 Base, DL560 Gen9 Entry, DL560 Gen9 Performance, DL580 Gen9, DL580 Gen9 Base, DL580 Gen9 Database, DL580 Gen9 High Performance, DL580 Gen9 SAP HANA Scale-out Base Configuration, DL580 Gen9 SAP HANA Scale-up Base Configuration, ML110 Gen10, ML110 Gen10 Entry, ML110 Gen10 Performance, ML110 Gen10 Solution, ML30 Gen9, ML30 Gen9 Base, ML30 Gen9 Entry, ML30 Gen9 Performance, ML30 Gen9 Solution, ML350 Gen10, ML350 Gen10 Base, ML350 Gen10 Entry, ML350 Gen10 High Performance, ML350 Gen10 Performance, ML350 Gen10 SMB, ML350 Gen10 Solution, ML350 Gen10 Special Server, ML350 Gen10 Sub-Entry, ML350 Gen9, ML350 Gen9 Base, ML350 Gen9 Entry, ML350 Gen9 Performance

Do you require higher performance computation for deep learning, HPC workloads or graphics capabilities? 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 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.