As companies across the globe race to integrate AI, two questions come to mind: How can we use AI to increase operational efficiency, and how can we use AI to improve our products and services? While these are natural questions and places to start with integrating AI, they may not be enough to survive the AI infection point.
As an example, Nvidia, the leader in AI technology, continues to pioneer not just hardware solutions but also software. As a company, Nvidia continues to evolve with the changes in AI. Since the introduction of GPGPU computing with its CUDA platform, Nvidia has evolved from a GPU chip company to a full-stack computing company providing boards, systems, software, and even services with an ever-increasing portfolio across all these segments.
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