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GPU - NVIDIA Workstation

NVIDIA GPU Accelerators accelerate compute and visualisation workloads increase workstation system performance. This is achieved by offloading data from the CPU and system memory into the GPU and GPU memory, where the architecture is much more parallel in nature - allowing many tasks to be performed simultaneously.

NVIDIA Workstation Compute Graphics Cards

These NVIDIA GPU Accelerators have the main task of accelerating compute workloads, such as deep learning and HPC, in order to increase system performance. This is achieved by offloading data from the CPU and system memory into the GPU and GPU memory, where the architecture is much more parallel in nature - allowing many tasks to be performed simultaneously.

These particular NVIDIA GPU Accelerators are actively cooled and be installed in workstations.

Visit the 3XS Systems configurator to view our range of systems featuring these GPU Accelerators.

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NVIDIA Workstation Visualisation Graphics Cards

These NVIDIA GPU Accelerators have the main task of accelerating visualisation workloads in order to increase system performance. This is achieved by offloading data from the CPU and system memory into the GPU and GPU memory, where the architecture is much more parallel in nature - allowing many tasks to be performed simultaneously.

These particular NVIDIA GPU Accelerators are actively cooled and be installed in workstations.

Visit the 3XS Systems configurator to view our range of systems featuring these GPU Accelerators.

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SLI & NVLink Bridges

An SLI (Scalable Link Interface) bridge is used to connect two or more NVIDIA graphics cards together for increased performance in games and applications. SLI bridges come in different sizes as the PCI-E slots are not always in the same place on motherboards, so make sure you buy the right size SLI bridge.

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