Author: Sattvik sharma

Scaling of artificial intelligence (AI) and cloud computing solutions is one of the most challenging issues as organizations strive to innovate and raise their operational efficiency by utilizing the solutions. Nevertheless, ongoing misunderstandings on scaling may cause expensive errors, inefficient operation and misaligned strategies. In this blog, we defy the five myths of scaling AI and cloud infrastructure, backed by information and expert opinions to empower the technology leaders in making qualified choices. Myth 1: Adding Hardware is the Answer to Scaling. There is a prevailing opinion that merely the increase in the number of GPUs, CPUs or storage is…