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Product Overview |
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The HP NVIDIA RTX 5000 Ada Generation graphics card delivers high-end graphical power with its 32GB GDDR6 memory and PCIe 4.0 x16 interface. It fits into professional workstations where advanced visualization, AI, and rendering capabilities are needed, making it suitable for users who require strong computational graphics performance in their daily tasks. |
General Information |
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| Brand | HP |
| Part Number | N35511-001 |
Technical Information |
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| Chipset | Nvidia |
| Bus Interface | PCIe 4.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL: 3.0, Vulkan: 1.3, Vulkan RT, CUDA, Shader Model: 6.7, DirectCompute |
| Output Interface | 4 x DisplayPort 1.4a |
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, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
Product Description |
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This HP NVIDIA RTX 5000 Ada Generation graphics card delivers powerful rendering and computation capabilities tailored for demanding professional uses. It is built for tasks that require robust graphical processing like 3D modeling, video editing, and AI development. Often found in workstations used by designers, engineers, and content creators, this GPU handles intensive graphics and acceleration needs with ease. Its large 32GB GDDR6 memory provides ample space for complex datasets and high-resolution textures. Key Features
These graphics cards are typically deployed in high-end workstations found in fields such as digital content creation, scientific visualization, and AI research. They help users accelerate rendering times and improve workflow efficiency by handling complex graphics and computations smoothly. |
Use Cases |
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The HP NVIDIA RTX 5000 Ada Generation graphics card is designed for professional environments requiring substantial graphical computation and data throughput. Industries such as engineering, media production, and scientific research benefit from its high memory capacity and advanced GPU architecture for handling complex visualizations and AI-driven workflows. How It's Used:
By integrating into professional workstations, this graphics card boosts processing efficiency and scalability for tasks demanding advanced visualization and computation. Its compatibility with PCIe 4.0 ensures rapid data transfer, supporting sustained workloads in high-performance computing scenarios. |