Add to Favourites
To login click here
Businesses are facing a challenge of adapting their existing IT infrastructure to handle the compute load of AI and installing servers with AI-optimal processing power. Research firms believe this is a sign of things to come as enterprises adopt AI for a broad selection of use cases. AI investments are estimated to cost over $76 billion by 2028 and $500 billion by 2027. Businesses have the option to upgrade or optimize existing hardware to run AI workloads, or a third way which may provide a stopgap between those two options. AI applications or workloads require new hardware, and machine learning requires both training and inference workloads.
