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HP
HP Quadro K2200 J0G89A 4GB 128-bit GDDR5 PCIe 2.0 x16 workstation graphics card
4 GB GDDR5 workstation card with 640 CUDA cores, PCIe 2.0 x16, two DisplayPort and one DVI, supporting three displays at 4096 x 2160
- InterfacePCI Express 2.0 x16
- Chipset ManufacturerNVIDIA
- GPUQuadro K2200
- CUDA Cores640
- Memory Size4GB
- Memory Interface128-bit
- 640 CUDA cores accelerate parallel compute workloads
- 4 GB GDDR5 memory holds large models and textures
- Three simultaneous displays via two DisplayPort and one DVI
- Single-slot active cooling fits space-constrained workstations
- 68 W power draw keeps thermal load low
HP Quadro K2200 4 GB for desktop workstations
The HP Quadro K2200 is a single-slot workstation graphics card with 4 GB of GDDR5 memory on a 128-bit bus. It targets engineers, designers and digital-media professionals who need ISV-certified driver stability for CAD, DCC and visualisation applications. The Kepler GPU provides 640 CUDA cores for GPU-accelerated workflows.
Check PCIe 2.0 x16 slot and 68 W power budget
Verify that your workstation has a free PCI Express 2.0 x16 slot and that the power supply can deliver the card's 68 W operational draw without auxiliary connectors. The board occupies one expansion slot and offers two DisplayPort and one dual-link DVI output for up to three simultaneous displays at 4096 x 2160 digital or 2048 x 1536 analog resolution.
Active cooler sustains 68 W load continuously
Under sustained load the active cooling system maintains the 68 W thermal envelope without throttling, keeping performance stable during long renders or compute sessions. Driver support for Windows and Linux ensures consistent behaviour across supported professional applications over extended periods.
Besonderheiten
- 640 CUDA cores accelerate parallel compute workloads
- 4 GB GDDR5 memory holds large models and textures
- Three simultaneous displays via two DisplayPort and one DVI
- Single-slot active cooling fits space-constrained workstations
- 68 W power draw keeps thermal load low
Technische Daten
| Brand | HP |
|---|---|
| Model | J0G89A |
| Interface | PCI Express 2.0 x16 |
| Chipset Manufacturer | NVIDIA |
| GPU | Quadro K2200 |
| CUDA Cores | 640 |
| Memory Size | 4GB |
| Memory Interface | 128-bit |
| Memory Type | GDDR5 |
| DirectX | DirectX 11.1 |
| OpenGL | OpenGL 4.4 |
| DisplayPort | 2 |
| DVI | 1 |
| Digital Resolution | 4096 x 2160 |
| Analog Resolution | 2048 x 1536@85Hz |
| Max Displays Per Board | 3 |
| Dual-Link DVI Supported | Yes |
| Operating Systems Supported | Windows, Linux |
| System Requirements | Power Consumption Operational: 68W |
| Features | Increased Performance to Solve Problems in Minutes Instead of Hours The HPE NVIDIA Accelerators improve computational performance which can dramatically reduce the completion time for parallel applications, offering quicker time to solutions. Co-locating the HPE NVIDIA Quadro or HPE NVIDIA GRID GPUs and computational servers in the data center so that they share rather than transfer large datasets, display refresh-rates improve greatly. HPE NVIDIA GRID GPUs are specifically designed to enable rich graphics in virtualized environments. Combined with the HPE ProLiant WS460c Gen8 Graphi |
| Form Factor | Plug-in Card |
| Dimensions (L x H) | 7.99" x 4.41" |
| Slot Width | Single |
| Versandgewicht | 0.30 kg |
| Paketgröße | 25 × 25 × 25 mm |
Fragen zu diesem Artikel
Does the HP Quadro K2200 J0G89A include cables or adapters for the DisplayPort and DVI outputs?
The card provides two DisplayPort connectors and one dual-link DVI output. Cables and any required adapters for specific monitors are sold separately.
Is the 4 GB GDDR5 memory on a 128-bit bus the only configuration for this model?
Yes, the J0G89A ships with 4 GB of GDDR5 memory on a 128-bit interface. No other memory capacities or bus widths are offered for this part number.
What does the 68 W power draw mean for my workstation power supply?
The board draws up to 68 W under load and is powered entirely through the PCI Express 2.0 x16 slot. Ensure your system power supply has adequate reserve for the total platform load.
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