GPU Memory Allocation

GPU memory allocation refers to the process of managing and assigning memory resources on a graphics processing unit (GPU) to optimize performance in applications that rely heavily on graphics rendering, machine learning, and other compute-intensive tasks. As GPUs become increasingly crucial for tasks like deep learning, gaming, and scientific simulations, understanding GPU memory allocation is essential for developers to optimize their applications and ensure efficient use of GPU resources, leading to improved overall system performance and reduced latency.