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| Product Overview |
|---|
The HP NVIDIA Quadro RTX 8000 48GB PCI Express x16 video graphics card offers professional-grade rendering and visualization performance. It fits into powerful workstations requiring extensive memory and advanced GPU features to manage complex graphical tasks efficiently, especially in design and research environments. |
| General Information | |
|---|---|
| Brand | HPE |
| Part Number | P11095-001 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCI Express x16 (PCIe 3.0 x16) |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , CUDA, Shader Model: 6.7, DirectCompute |
| Output Interface | 4 x DisplayPort 1.4 |
| Suggested PSU | 650W |
| Power Connectors | 2x 8-pin |
| Memory | |
|---|---|
| Memory Size | 48GB |
| Interface | GDDR6 |
| Memory Bus | 384-bit |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The HP NVIDIA Quadro RTX 8000 is built for professionals handling demanding 3D rendering, visual effects, and AI workloads. It’s commonly used in workstations for industries such as animation, scientific research, and engineering design, where powerful graphics processing is essential. Often found in studios and labs, this card suits users who need reliable performance for complex simulations and high-resolution visualization tasks. The large 48GB memory supports massive datasets, enabling smoother workflows without frequent data swapping. Key Features
This graphics card is typically deployed in high-end workstations where visualization and computation demands are critical. It plays a key role in accelerating creative workflows and scientific computations without compromise. |
| Use Cases |
|---|
The HP NVIDIA Quadro RTX 8000 48GB graphics card is designed for high-demand professional workstations, particularly benefiting users who require extensive GPU memory and advanced rendering capabilities. It is well-suited for environments such as engineering firms, media production studios, and research institutions that process large datasets or complex 3D models. How It's Used:
This GPU supports operational efficiency by enabling smooth handling of large graphical datasets and accelerating computation-heavy tasks. Its scalability allows enterprises to maintain performance consistency as project complexity grows, making it a vital component in advanced visualization and simulation workflows. |