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Product Overview |
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The HMX86 Dell NVIDIA RTX 2000 ADA 16GB GDDR6 Graphics Card offers robust graphics performance tailored for professional environments. It fits well into workstations that require detailed 3D rendering, AI processing, and high memory capacity. This card serves as a reliable component for users needing a balance between power and efficiency in their visual computing tasks. |
General Information |
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| Brand | Dell |
| Part Number | HMX86 |
Technical Information |
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| Chipset | Nvidia |
| Bus Interface | PCI Express 4.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, OpenCL: 3.0, Vulkan: 1.3, Vulkan RT, CUDA, Shader Model: 6.7, DirectCompute |
Memory |
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| Memory Size | 16GB |
| 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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The HMX86 Dell NVIDIA RTX 2000 ADA 16GB GDDR6 Graphics Card is designed to handle demanding graphical tasks with ease. It is commonly found in workstations where professionals require reliable and powerful graphics performance for 3D design, visualization, and AI model training. Built for engineers, designers, and data scientists, this card delivers smooth and efficient performance in applications like CAD software, video editing, and deep learning. Its advanced architecture supports enhanced ray tracing and AI acceleration, making complex tasks faster and more accurate. Key Features
This graphics card is typically deployed in professional-grade desktops and workstations used in engineering firms, media production studios, and research laboratories. It provides the graphical horsepower needed to improve productivity while maintaining accuracy and detail in visual outputs. |
Use Cases |
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The HMX86 Dell NVIDIA RTX 2000 ADA 16GB GDDR6 Graphics Card is commonly deployed in professional workstations where high-fidelity 3D visualization and AI computation are essential. It benefits industries such as digital content creation, scientific research, and engineering design that demand accelerated graphics processing and large memory capacity. How It's Used:
This graphics card supports operational efficiency by enabling faster rendering and AI inference workloads, which helps reduce project turnaround times. Its integration into professional setups allows for scalable performance improvements tailored to demanding computational graphics tasks. |