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| Product Overview |
|---|
The NVIDIA RTX A5000 24GB GDDR6 Graphics Card serves as a reliable powerhouse for professional computing tasks. It fits well in environments where detailed visualization, AI modeling, and high-performance rendering are essential, providing the necessary hardware to tackle complex projects without slowing down workflows. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | NVIDIA RTX A5000 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCI Express 4.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , CUDA, Shader Model: 6.7, DirectCompute |
| Output Interface | 4 x DisplayPort 1.4a (with DSC) |
| Memory | |
|---|---|
| Memory Size | 24GB |
| Interface | GDDR6 |
| Memory Bus | 384-bit |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV, cULus |
| Product Description |
|---|
The NVIDIA RTX A5000 is a high-performance graphics card designed for professional workloads including 3D rendering, simulation, and AI development. It’s commonly used in workstations where deep learning, complex modeling, and visualization tasks demand robust GPU power. Built for engineers, designers, and researchers, this card handles large datasets and detailed projects without compromising speed or accuracy. It often appears in media production studios, architectural firms, and scientific research centers where precision and reliability are crucial. Key Features
This GPU is typically integrated into professional workstations found in studios, engineering labs, and research facilities. Its combination of memory capacity and processing power helps users handle demanding applications and large-scale simulations smoothly. Users benefit from improved rendering times and accelerated AI training, making it a practical choice for professionals who need consistent performance over long workloads. |