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| Product Overview |
|---|
The Nvidia Titan RTX 24GB GDDR6 PCIe 3.0 x16 Graphics Card delivers a powerful combination of memory capacity and processing speed aimed at demanding computational tasks. It fits well in high-performance workstations and setups requiring both graphics rendering and AI computation capabilities. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | Nvidia Titan RTX 24GB |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| GPU Clock | Base: 1350 MHz, Boost: 1770 MHz |
| 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, 1 x USB-C (VirtualLink) |
| Suggested PSU | 650W |
| Power Connectors | 8-pin x2 |
| Memory | |
|---|---|
| Memory Size | 24GB |
| Interface | GDDR6 |
| Memory Bus | 384-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | 3-slot |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | RoHS, CE, FCC |
| Product Description |
|---|
The Nvidia Titan RTX is built for professionals and enthusiasts who require top-tier graphics and compute power. Often found in workstations, it handles complex AI models, 3D rendering, and video editing with ease. Commonly used in research labs, creative studios, and advanced gaming setups, it suits users who need a balance between raw power and versatility. Its large 24GB memory supports massive datasets and high-resolution projects without bottlenecks. Key Features
This graphics card is typically deployed in environments where intensive computation is routine, such as scientific computing, machine learning, and digital content creation. It helps professionals push boundaries of their work without compromising speed or reliability. |
| Use Cases |
|---|
Designed for professionals and researchers, the NVIDIA TITAN RTX 24GB Graphics Card supports a variety of advanced computing applications. How It's Used:
Its robust performance and large memory capacity make it suitable for environments where computational speed and accuracy are critical. |