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Why even rent a GPU server for deep learning?

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Why even rent a GPU server for deep learning?

Deep learning is an ever-accelerating field of machine learning. Major companies like Google, Microsoft, Facebook, among others are now developing their deep understanding frameworks with constantly rising complexity and computational size of tasks which are highly optimized for parallel execution on multiple GPU and even numerous GPU servers . So even the most advanced CPU servers are no longer capable of making the critical computation, and this is where GPU server and cluster renting will come in.

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Why are GPUs faster than CPUs anyway?</p

A typical central processing unit, or a CPU, is a versatile device, capable of handling many different tasks with limited parallelcan bem using tens of https://gpurental.com/ CPU cores. A graphical digesting device, 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 parallelwill bem making use of a large number of tiny GPU cores. That is why, because of a deliberately large amount of specialized and sophisticated optimizations, power of 10 nvidia GPUs tend to run faster than traditional CPUs for particular assignments like Matrix multiplication that is a base task for Deep Learning or 3D Rendering.