The emergence of Artificial Intelligence and its widespread usage has created a major demand for faster processing and computing capabilities. As a consequence, we see specialised Data Centres coming up across the globe, especially employing GPUs (Graphical Processing Units). Such Data centres house thousands of GPUs working synchronously to address the computational workload of enormous complexity and volumes, spanning across diverse domains like Healthcare, Finance and Analytics. GPU data Centres have been in the limelight by virtue of their significant contribution to Artificial Intelligence. In fact the strong correlation makes GPU Data Centres and Artificial Intelligence go hand in hand, to the extent that their survival is inter-dependent on each other.

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A Graphical Processing Unit or GPU was initially created for developing high resolution graphics and video games, but now it has moved far beyond gaming, due to its enhanced processing capabilities, and has become an essential participant in AI adoption. Architecturally, a GPU is comprised of multiple cores or processors and distributes tasks across these cores, allowing these to be computed concurrently. This multi-processing capability gives GPUs a significant........

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