Q0V78A Видеокарта
70 000
руб.
Есть в наличии
Количество:
Артикул:
Q0V78A
Тип товара:
Видеокарта
Краткое описание: NVIDIA Quadro 4000, 8GB GDDR5, 256 bit, PCI Express x16 3.0, 4 x DP (1.4), CUDA, DirectX 12.0, OpenGL 4.5
brand_ice: HP
Co2 Savings: 0
Cooling type: Active
Number of fans: 1 fan(s)
Form factor: Full-Height/Full-Length (FH/FL)
Bracket height: Full-Height (FH)
Number of slots: 1
Colour of product: Black, Green
Graphics processor family: NVIDIA
Graphics processor: Quadro 4000
CUDA: Yes
CUDA cores: 1792
FireStream: No
Discrete graphics adapter memory: 8 GB
Graphics adapter memory type: GDDR5
Memory bus: 256 bit
Memory bandwidth (max): 243 GB/s
Interface type: PCI Express x16 3.0
DisplayPorts quantity: 4
DisplayPort version: 1.4
TV tuner integrated: No
DirectX version: 12.0
Shader model version: 5.1
OpenGL version: 4.5
HDCP: Yes
Dual Link DVI: Yes
Weight: 680 g
Width: 241.3 mm
Depth: 15.7 mm
Height: 111 mm
brand_ice: HP
Co2 Savings: 0
Cooling type: Active
Number of fans: 1 fan(s)
Form factor: Full-Height/Full-Length (FH/FL)
Bracket height: Full-Height (FH)
Number of slots: 1
Colour of product: Black, Green
Graphics processor family: NVIDIA
Graphics processor: Quadro 4000
CUDA: Yes
CUDA cores: 1792
FireStream: No
Discrete graphics adapter memory: 8 GB
Graphics adapter memory type: GDDR5
Memory bus: 256 bit
Memory bandwidth (max): 243 GB/s
Interface type: PCI Express x16 3.0
DisplayPorts quantity: 4
DisplayPort version: 1.4
TV tuner integrated: No
DirectX version: 12.0
Shader model version: 5.1
OpenGL version: 4.5
HDCP: Yes
Dual Link DVI: Yes
Weight: 680 g
Width: 241.3 mm
Depth: 15.7 mm
Height: 111 mm
HPE NVIDIA Quadro P4000. Graphics processor family: NVIDIA, Graphics processor: Quadro 4000. Discrete graphics card memory: 8 GB, Graphics card memory type: GDDR5, Memory bus: 256 bit. DirectX version: 12.0, OpenGL version: 4.5, Dual Link DVI. Interface type: PCI Express x16 3.0. Cooling type: Active, Number of fans: 1 fan(s)
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.
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.
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.
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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Bracket heightFull-Height (FH)
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Co2 Savings0
-
Colour of productBlack, Green
-
Cooling TypeActive
-
CUDAYes
-
CUDA cores1792
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Depth15.7 mm
-
DirectX version12
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Discrete graphics adapter memory8 GB
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DisplayPort version1.4
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DisplayPorts quantity4
-
Dual Link DVIYes
-
FireStreamNo
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Form FactorFull-Height/Full-Length (FH/FL)
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Graphics adapter memory typeGDDR5
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Graphics processorQuadro 4000
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Graphics processor familyNVIDIA
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HDCPYes
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Height111 mm
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Interface typePCI Express x16 3.0
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Memory bandwidth (max)243 GB/s
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Memory Bus256 bit
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Number of fans1 fan(s)
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Number of slots1
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OpenGL version4.5
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Shader model version5.1
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TV tuner integratedNo
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Weight680 g
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Width241.3 mm
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ПроизводительHP
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Тип товараВидеокарта
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