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Why even rent a GPU server for deep learning?

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Why are GPUs faster than CPUs anyway?

A typical central processing unit, octane benchmark test or perhaps a CPU, is a versatile device, Octane Benchmark Test capable of handling many different tasks with limited parallelcan bem using tens of CPU cores. A graphical digesting unit, or perhaps a GPU, was created with a specific goal in mind — to render graphics as quickly as possible, which means doing a large amount of floating point computations with huge parallelism making use of a large number of tiny GPU cores. This is why, octane benchmark test because of a deliberately large amount of specialized and sophisticated optimizations, Octane Benchmark Test GPUs have a tendency to run faster than traditional CPUs for particular tasks like Matrix multiplication that is clearly a base task for Deep Learning or 3D Rendering.