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Product Overview |
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The NVIDIA Quadro GV100 32GB HBM2 Graphics Card is a high-end professional GPU designed to handle extensive computational workloads. It fits seamlessly into environments that demand accelerated processing power, such as scientific research, AI development, and advanced visualization projects. |
General Information |
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| Brand | Nvidia |
| Part Number | 1P6C2 |
Technical Information |
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| Chipset | Nvidia |
| Bus Interface | PCI Express 3.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , CUDA, Shader Model: 6.7, DirectCompute |
| Output Interface | 4 x DisplayPort 1.4 |
| Suggested PSU | 650W |
| Power Connectors | 2 x 8-pin |
Memory |
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| Memory Size | 32GB |
| Interface | HBM2 |
| Memory Bus | 4096-bit |
Physical Characteristics |
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| Slot Width | 2-slot |
| 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 NVIDIA Quadro GV100 is built for demanding professional workloads like AI research, 3D rendering, and scientific simulations. Often found in workstations and data centers, it accelerates tasks that require immense parallel processing power. Its large memory capacity and high bandwidth make it suitable for engineers, designers, and researchers who work with complex models and large datasets. Key Features
This graphics card is typically deployed in professional studios, research labs, and engineering offices where high performance is crucial. It aids in reducing computation times and improving accuracy when working on complex projects, making it a valuable tool for specialists across various technical fields. |
Use Cases |
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The NVIDIA Quadro GV100 32GB HBM2 Graphics Card is primarily deployed in professional and enterprise environments that require intensive GPU computation. Ideal for research labs, AI development teams, and visualization experts, it supports complex workloads demanding high memory bandwidth and parallel processing power. How It's Used:
This GPU's architecture and memory capacity contribute to improved throughput and scalability in demanding computational settings. Its integration into high-performance workstations and servers helps maintain efficient processing pipelines across diverse professional applications. |