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The Supply and Delivery of a Rack Mounted High Performance GPU Server to TUS

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Description

This GPU server will provide essential computational resources for national-funded AI research projects, utilized by researchers, engineers, and PhD students. The GPU must support large-scale parallel computations, with high memory bandwidth, compatibility with AI frameworks such as TensorFlow and PyTorch, and CUDA or equivalent platforms, ensuring scalability for multiple users and energy efficiency.

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