The history of modern software development has been a dance between what hardware can give and what software demands. Over the decades, the steps in this dance have moved us from the original Intel 8086, which we now consider very basic functionality, to today’s multi-faceted processors, which provide virtualization support, end-to-end access to encrypted memory and data, and extended instruction sets that power the most demanding application stacks.
This dance swings from side to side. Sometimes our software has to stretch to meet the capabilities of a new generation of silicon, and sometimes it has to squeeze out every last ounce of available performance. Now, we’re finally seeing the arrival of a new generation of hardware that mixes familiar CPUs with new system-level accelerators that provide the ability to run complex AI models on both client hardware and servers, both on premises and in the public cloud.
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