TL;DR:
• NVIDIA launches Nemotron Nano 2 and Cosmos Reason models for enterprise AI agents
• Enterprise adoption explodes with CrowdStrike, Uber, Zoom already integrating
• Capgemini research projects AI agents will deliver $450 billion in value by 2028
• New models deliver 60% lower reasoning costs with 6x higher throughput than competitors
NVIDIA just dropped two breakthrough reasoning model families that could unlock $450 billion in enterprise value by 2028. Major players including CrowdStrike, Uber, and Zoom are already building smarter AI agents with the new Nemotron and Cosmos models, signaling a massive shift toward autonomous enterprise operations.
NVIDIA is reshaping the enterprise AI landscape with two new reasoning model families that promise to transform how businesses deploy autonomous agents. The announcement, made today at SIGGRAPH, comes as Capgemini research projects AI agents will deliver $450 billion from revenue gains and cost savings by 2028.
The enterprise response has been immediate and overwhelming. CrowdStrike is testing Nemotron models to enable its Charlotte AI agents to write complex queries on the Falcon platform, while Zoom plans to harness the reasoning capabilities with Zoom AI Companion for multistep task automation across meetings, chat, and documents.
"Think of the model as the brain of an AI agent — it provides the core intelligence," explains NVIDIA in its announcement. The new NVIDIA Nemotron Nano 2 and Llama Nemotron Super 1.5 models offer the highest accuracy in their size categories for scientific reasoning, math, coding, and tool-calling.
The efficiency gains are staggering. Nemotron Nano 2 provides up to 6x higher token generation compared with other leading models of its size, while delivering 60% lower reasoning costs through a configurable "thinking budget" that gives developers granular control over computational resources. For enterprises managing thousands of AI interactions daily, these cost reductions could translate to millions in operational savings.
