CASE
Revolutionizing XR: Google Immersive Stream and SolidMeta’s AI Real-Time Optimization Unveiled at Cloud Next ’23
At the Google Cloud Next ’23 conference, industry leaders gathered to discuss and showcase the latest advancements in cloud computing technology. Among the many highlights, one session stood out, featuring an insightful talk by Bernhard Reinert from the Google Cloud division and Pierre Grage, who was invited to share the stage and delve into the exciting realm of Extended Reality (XR) technology.
The session, now available on YouTube (link below) for those who missed it, was a deep dive into Google Cloud’s Immersive Stream for XR. This innovative technology promises to revolutionize the way high-poly Augmented Reality (AR) and streaming projects are developed and experienced.
A Game-Changer for XR
For the XR community, Google Cloud’s Immersive Stream for XR offers a robust platform designed to handle the demanding requirements of high-poly AR projects. The technology enables seamless streaming of immersive content, allowing users to experience high-quality AR without the need for powerful local hardware.
SolidMeta
During the session, Pierre Grage highlighted the groundbreaking work done using UNEVIS X proprietary SolidMeta technology. He showcased how SolidMeta was used to convert a CAD model from Volkswagen into a real-time model with 50% fewer polygons via AI in less than four weeks from start to finish. ISXR could handle fluently much more polygons than WebGL for example and came without the significant look and rendering limitations. The combination of SolidMeta and Google Cloud’s Immersive Stream for XR offers both high-quality visual models and fast turnaround times.
Why It Matters
The introduction of Google Cloud’s Immersive Stream for XR addresses several critical challenges in the XR field:
1. Accessibility: By leveraging cloud computing, it reduces the dependency on high-end local hardware, making high-quality XR experiences more accessible to a broader audience.
2. Scalability: The platform’s robust infrastructure ensures that XR applications can scale seamlessly to meet varying user demands. SolidMeta AI-optimized models offer a scalable pipeline into Immersive Stream for XR without the need for manual optimization work.
3. Performance: With powerful cloud-based processing, users can enjoy smoother and more responsive AR experiences, enhancing overall engagement and satisfaction. SolidMeta models are highly optimized without any visual sacrifices known from legacy polygon optimization techniques.
4. Speed: Deliver your marketing use case quickly and without technological hurdles, either directly via SolidMeta and Immersive Stream for XR or as a service via UNEVIS X. Don’t hesitate to ask for an offer or a cost estimation.
The excitement surrounding this technology is palpable, and its potential applications are vast. From product configurators, education and training to gaming and virtual tourism, Immersive Stream for XR is poised to impact numerous sectors, driving innovation and opening new possibilities. The collaboration and innovations presented at Google Cloud Next ‘23 underscore Google’s commitment to advancing the field of XR and providing powerful tools that empower creators and developers worldwide.
By exploring the synergy between SolidMeta’s AI-driven optimization and Google Cloud’s powerful streaming capabilities, the future of high-poly AR streaming looks brighter than ever.
Those interested in pushing the boundaries of XR are encouraged to watch the talk on YouTube below and consider integrating Google Cloud’s Immersive Stream for XR into their projects. Unevis X proparitary Optimization Technology is available at SolidMeta.io or as a Service via UNEVIS X.
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