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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
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