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of technical requirements for different use scenarios of AI applications. 3) Study and comparison of server architectures, GPUs, and storage solutions suitable for AI. 4) Implementation of virtualization and
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parallel programming and/or high-performance computing, particularly on GPU or FPGA architectures; Knowledge of compression techniques, including predictive coding, filter banks, transforms, and statistical
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