Discovery sits at the intersection of AI infrastructure and scientific computing: it's designed to let researchers run AI-assisted hypothesis generation, data analysis, and literature synthesis at scale without stitching together their own toolchain. GA means Microsoft is treating it as production-ready rather than a lab project. The connection to Majorana 2 quantum chip research is worth noting — the platform was partially shaped by the kinds of workloads that quantum and AI research share. That's a narrow use case today, but it signals where Microsoft thinks the compute boundary is heading.