Why Inference Matters More Than Ever
As PYMNTS reported earlier this year, while training teaches models to recognize patterns using massive datasets, inference applies that learning at scale.
“As enterprises deploy AI systems that manage thousands or millions of requests daily, inference becomes the dominant operational challenge and cost driver,” the report said.
Open Models Enter the Picture
Adding to its momentum, Nvidia this month unveiled its Nemotron 3 family of open models, designed to support transparent, efficient and specialized agent-centric AI across industries.
Developers and enterprises can access the models, along with data and tools, to build and customize AI agents for tasks ranging from coding and reasoning to complex workflow automation.
Open-source AI models, Nvidia and industry analysts note, differ sharply from closed systems. Their publicly available code and weights allow users to inspect, modify and integrate the technology without restrictive licenses — a flexibility increasingly prized as AI adoption accelerates.
As Nvidia purchased Intel shares and broadened its partnerships, the company signaled it is not just betting on today’s chips, but shaping the architecture of tomorrow’s AI-driven economy.
