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Product Overview |
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The NVIDIA RTX 5000 Ada Generation 32GB graphics card is a high-performance solution designed mainly for professional workloads. It fits into workstations where demanding graphics rendering and compute tasks need to be handled efficiently, offering enhanced processing power with the latest Ada Lovelace architecture combined with a large frame buffer and PCIe 4.0 connectivity. |
General Information |
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| Brand | Nvidia |
| Part Number | Nvidia RTX 5000 ADA |
Technical Information |
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| Chipset | Nvidia |
| Bus Interface | PCIe 4.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.3, CUDA, Shader Model: 6.7, DirectCompute |
| Output Interface | 4 x DisplayPort 1.4a |
| Suggested PSU | 650W |
Memory |
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| Memory Size | 32GB |
| Interface | GDDR6 |
Physical Characteristics |
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| Weight | 3.00 |
| Condition | Refurbished |
Miscellaneous |
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| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV, cULus |
Product Description |
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The NVIDIA RTX 5000 Ada Generation graphics card is built for professionals requiring powerful graphics and compute capabilities. It excels at handling intensive workloads such as 3D rendering, AI model training, and complex simulations. This GPU is commonly found in workstations used by designers, engineers, and researchers who need high memory capacity and fast processing speeds. Key Features
This graphics card is typically deployed in professional workstations within industries like media production, scientific research, and AI development. Its substantial memory and architecture help users accelerate complex tasks, reducing turnaround time on projects and improving overall productivity. |
Use Cases |
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The HP NVIDIA RTX 5000 Ada Generation 32GB graphics card is primarily utilized in professional settings where high computational and rendering capabilities are essential. It is well-suited for industries such as architecture, engineering, and media production where complex models and large datasets demand robust GPU resources. How It's Used:
This graphics solution enhances operational efficiency by providing scalable performance that accommodates increasingly demanding workloads. Its integration within professional workstations supports sustained productivity and the ability to handle evolving visualization and compute requirements. |