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Product Overview |
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The PNY NVIDIA RTX A5000 24GB is a professional-grade graphics card designed to handle heavy computational and visualization tasks. It fits into workstations where detailed modeling, simulation, or AI tasks require reliable GPU performance and large memory capacity. |
General Information |
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| Brand | PNY Technologies |
| Part Number | 900-5G132-1700-000 |
Technical Information |
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| Chipset | Nvidia |
| GPU Clock | 1695 MHz (Boost) |
| 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 |
| Suggested PSU | 550W |
| Power Connectors | 1 x 8-pin PCIe |
Memory |
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| Memory Size | 24GB |
| Interface | GDDR6 |
| Memory Bus | 384-bit |
Physical Characteristics |
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| Slot Width | 2.7 |
| Weight | 3.00 |
| Condition | Refurbished |
Miscellaneous |
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| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV |
Product Description |
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The PNY NVIDIA RTX A5000 24GB graphics card is designed to deliver powerful performance for demanding professional applications. Built for tasks such as 3D rendering, data science, and machine learning, this card provides the resources needed to accelerate workflows. Often found in workstations used by designers, engineers, and researchers, it supports real-time ray tracing and AI-powered features to enhance visualization and computation. Its large 24GB memory buffer allows smooth handling of large models and datasets without performance bottlenecks. Key Features
This graphics card is commonly deployed in professional workstations across industries like media production, engineering, and scientific research. It helps users manage intensive graphical and computational tasks with better responsiveness and accuracy. |
Use Cases |
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The PNY NVIDIA RTX A5000 24GB graphics card is predominantly deployed in professional workstation environments requiring advanced GPU capabilities. It is especially suited for industries where large-scale data visualization, simulation, and AI model training are integral, such as engineering, media production, and scientific research labs. How It's Used:
By delivering robust computing power and substantial memory capacity, this GPU enhances the performance and scalability of demanding professional applications. It supports consistent throughput in environments where precision and speed directly impact operational outcomes. |