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Unified Memory

Unified Memory is an architecture that allows a computer's central processing unit (CPU) and graphics processing unit (GPU) to share a single common memory space. In a traditional setup, the CPU and GPU have their own, physically separate memories. If the GPU needs to process data available to the CPU, this data must first be copied from the processor's memory to the graphics processor's memory. This data transfer process can be slow and represents a performance bottleneck, especially when working with large volumes of data, which is typical for training artificial intelligence models. Unified Memory solves this problem by creating a single virtual memory space that both chips can access. The system automatically handles the transfer of data between physical memories in the background, depending on which processor currently needs it. For applications and programmers, this simplifies work because they do not have to worry about manual data management and copying, leading to faster computations and more efficient hardware utilization.

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