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| Product Overview |
|---|
The Cisco NVIDIA GRID K1 16GB 4-GPU Graphics Accelerator combines four GPUs in one card to deliver versatile graphics performance mainly in virtualized environments. It fits into servers to provide multiple users with access to strong GPU resources, making it a practical solution for businesses that need shared graphics power without investing in individual workstations. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | GRID K1 |
| Series | GRID K1 |
| Miscellaneous | |
|---|---|
| Compliance Standards | WEEE, RoHS, CE, FCC |
| Physical Characteristics | |
|---|---|
| Weight | 3.00 |
| Condition | Refurbished |
| Product Description |
|---|
The Cisco NVIDIA GRID K1 is designed to deliver efficient graphics acceleration for virtual desktop infrastructure (VDI) and remote workstation setups. It often appears in enterprise environments where multiple users need access to powerful graphical processing without dedicated physical workstations. Built for IT professionals and businesses, the GRID K1 enables smooth rendering of 3D applications, video editing, and CAD workloads over a network. It’s commonly integrated into servers to support concurrent users who require reliable graphics performance. Key Features
This graphics accelerator is typically deployed in data centers powering virtual desktops or cloud gaming services. Its multi-GPU setup helps balance loads efficiently, providing consistent performance where multiple graphical sessions run concurrently. Professionals using CAD, 3D modeling, or multimedia editing software find the GRID K1 helpful in delivering desktop-grade graphics through a virtual environment, saving on hardware costs while maintaining usability. |
| Use Cases |
|---|
The Cisco NVIDIA GRID K1 is utilized in environments where virtualized graphics processing is essential. How It's Used:
This graphics accelerator supports diverse industries that require efficient and scalable GPU sharing across users, improving access to advanced graphics capabilities without dedicated hardware per user. |