Nvidia (NVDA) shares traded with mixed signals Thursday as the company unveiled its new XR AI platform for immersive enterprise computing, while separately highlighting surging European demand for its AI chips. The stock initially held weakly after the XR AI announcement, then climbed 1.1% to $206.99 as the European push at VivaTech conference in Paris took center stage.
XR AI Platform Enters Beta
Nvidia officially launched XR AI in public beta, a framework that connects augmented reality and extended reality devices to GPU-accelerated cloud, data center, edge, and workstation infrastructure. The platform processes video, audio, depth, motion, and sensor data in real time, allowing AI to respond to physical environments. Early partnerships include Siemens exploring factory maintenance and industrial operations, as well as healthcare and research deployments at Stanford University School of Medicine and Princeton University via Rana’s LabOS integration.
European AI Chip Demand Heats Up
At VivaTech, Nvidia underscored a major European opportunity. French AI startup Mistral—in which Nvidia is an investor—raised $830 million in debt to build 200MW of AI computing capacity across Europe by 2027. Nvidia and Mistral are also part of a consortium planning a 1.4-gigawatt data center campus near Paris, rivaling the largest U.S. facilities. This push aligns with growing political pressure in Europe to reduce reliance on American AI platforms, as French President Macron criticized the U.S. for restricting AI model access.
Financial Backdrop
Nvidia’s strong fundamentals provided a tailwind. The company reported Q1 EPS of $1.87 (vs. $1.76 estimate) on revenue of $81.62 billion, up 85.2% year-over-year. It hiked its quarterly dividend from $0.01 to $0.25 and authorized an $80 billion share buyback. Analysts maintain a consensus “Buy” rating with a $305.67 price target.
The dual news flow—a new XR AI product and European data center expansion—reinforces Nvidia’s role as the infrastructure backbone for the global AI buildout, with potential read-across to decentralized AI and GPU-compute crypto tokens.
