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| Product Overview |
|---|
The NVIDIA RTX 4000 Ada Generation 20GB GDDR6 graphics card is designed to deliver reliable, high-performance graphics processing for professional applications. It fits into workstations focused on creative and scientific tasks that demand advanced rendering and AI capabilities without compromising stability. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | 699-5G190-0550-H00 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCI Express 4.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.3, CUDA, Shader Model: 6.7, DirectCompute |
| Output Interface | 4 x DisplayPort 1.4a |
| Memory | |
|---|---|
| Interface | GDDR6 |
| Physical Characteristics | |
|---|---|
| Slot Width | Dual Slot |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV |
| Product Description |
|---|
This NVIDIA RTX 4000 Ada Generation graphics card is built for demanding professional tasks such as 3D rendering, video editing, and AI model development. It is often found in workstations used by designers, engineers, and researchers who rely on powerful graphics processing to accelerate their workflows. Commonly used in industries like media production, architecture, and scientific research, this card offers a balance of performance and efficiency tailored for professional environments. Key Features
This graphics card is typically deployed in high-end workstations where reliability and performance are critical. It plays a role in speeding up rendering tasks and improving productivity for professionals working with graphics-intensive projects. |
| Use Cases |
|---|
The NVIDIA RTX 4000 Ada Generation 20GB GDDR6 graphics card is optimized for professional environments requiring substantial computational power, particularly in industries where advanced 3D rendering and AI-driven workflows are critical. Its architecture supports demanding workloads in creative studios, scientific research labs, and engineering firms that rely on precision and speed. How It's Used:
This GPU strengthens operational efficiency by delivering consistent performance in GPU-accelerated tasks, facilitating scalability across workstation fleets. It supports complex workloads with stability, enabling professionals to meet tight project deadlines without resource bottlenecks. |