Spatial computing is moving from visualization to active collaboration, adding increasingly more GPU demands on XR hardware to render photorealistic, physics-accurate, high-fidelity spatial content in real time. Meanwhile, developers have had to maintain separate codebases for every platform, each with different toolchains, SDKs, and streaming protocols.
At NVIDIA GTC 2026, NVIDIA CloudXR 6.0 introduced a universal OpenXR-based streaming runtime that works across headsets, operating systems, and browsers—including native visionOS integration. This post walks through how the CloudXR 6.0 architecture works and how to start building today.
Figure 1. The CloudXR 6.0 architecture connects server-side OpenXR applications to native Apple clients and web browsers via CloudXR.js
CloudXR 6.0: Universal OpenXR streaming
The release focuses on expanding the reach of NVIDIA RTX-powered content to any spatial display without the constraints of local hardware or manual device provisioning.
