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These NVIDIA GPU Accelerators have the main task of accelerating deep learning inferencing 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 passively cooled and can only be installed in certified servers or edge AI devices.
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