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| Product Overview |
|---|
The NVIDIA TITAN V 12GB HBM2 Volta graphics card is designed for heavy computational tasks, especially in AI and scientific research. It fits into professional workstations where high throughput and efficient parallel processing are essential, offering a solid foundation for demanding compute-intensive projects. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | TITAN V |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| GPU Clock | 1200 MHz (base), 1455 MHz (boost) |
| Bus Interface | PCI Express 3.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , CUDA, Shader Model: 5.1, DirectCompute |
| Output Interface | 3 x DisplayPort 1.4, 1 x HDMI 2.0b |
| Suggested PSU | 650W |
| Power Connectors | 1 x 8-pin, 1 x 6-pin |
| Memory | |
|---|---|
| Memory Size | 12GB |
| Interface | HBM2 |
| Memory Bus | 3072-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | 2.5-slot |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV, cULus |
| Product Description |
|---|
The NVIDIA TITAN V is a powerful graphics card built specifically for demanding compute workloads. It excels in accelerating AI research, deep learning models, and complex simulations that require massive parallel processing. Often found in research labs, universities, and professional workstations, it enables users to train neural networks faster and handle large datasets efficiently. This card is ideal for data scientists, engineers, and developers who need cutting-edge performance beyond typical gaming GPUs. Key Features
The TITAN V is commonly deployed in AI training setups, scientific research, and technical computing environments. Its ability to handle complex calculations accelerates innovation and problem-solving in fields like machine learning and data analysis. |
| Use Cases |
|---|
The NVIDIA TITAN V 12GB HBM2 Volta graphics card is primarily utilized in environments requiring substantial computational resources, such as research laboratories and AI development centers. Users involved in deep learning model training and complex scientific simulations benefit from its high throughput and parallel processing capabilities. How It's Used:
By integrating the TITAN V into compute-heavy infrastructures, organizations can achieve improved operational efficiency and scalability in processing complex workloads. This facilitates faster experimentation cycles and data processing throughput essential to scientific and AI-driven innovation. |