BrainBlog for Rafay by Jason Bloomberg
As with so many of today’s AI-related buzzwords, ‘AI native’ means different things to different people.
Many people ascribe the notion to human beings, either individually or in organizations, as Mark Zuckerberg’s notorious failure to make Meta AI native would attest.
A more useful definition of the term might apply to the hardware and software that AI runs on: designing infrastructure from the ground up for AI workloads.
For any organization building out such infrastructure, whether it be an enterprise equipping its own data centers or one of the numerous neoclouds springing up, ensuring their efforts are AI native is a top of mind concern.
For either type of organization, AI native infrastructure means far more than a data center full of GPU-equipped servers. Here’s what’s missing.
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Image credit: Craiyon.
