NVIDIA has announced the launch of version 1.0 of its CloudXR SDK, a set of tools that allows network operators to offer streaming of AR/VR in a cloud environment.
Nvidia is preparing its system CloudXR to prepare for the distribution of computer peripheral networking, equipped with a GPU and the devices connected to 5G. The company has established a set of tools that will enable such networks (or operators on these networks) to offer the AR/VR content in the cloud to its customers.
Hope streaming AR/VR is to eliminate a hardware barrier of virtual reality, passing the visual effects in the cloud and transmitting them to the host device, which itself does not require very bulky or expensive equipment. Nvidia already offers a very similar service called GeForce Now, but it is designed for traditional games, not VR. CloudXR is a specialized solution for the unique latency requirements and performance for streaming VR and AR.
Although Nvidia announced the early access SDK CloudXR at the end of last year , today the company declares that it is releasing version 1.0 , which is supposedly ready for initial deployment in real networks.
Nvidia says that the system CloudXR can transmit any of the content SteamVR end users in the systems Windows or Android without any special changes in the streaming application. This can be a gaming and entertainment content or the corporate and industrial content, such as high-quality three-dimensional visualization or immersive design application; all that the operator wants to offer its customers.
But CloudXR SDK — not just the host client video encoder/decoder; Nvidia claims that the system is designed to operate and control in large server deployments, offering a truly scalable solution that can simultaneously support multiple clients on virtualized hardware.
CloudXR combines the performance of the RTX server software for virtualization of graphics processors NVIDIA, Quadro Virtual Workstation (Quadro vDWS), to enable secure multitenant deployments, which is a common requirement for telecommunications companies. Virtualization with graphics processor also allows multiple virtual machines to access the GPU when the workload is smaller, which optimizes the density of users and operating costs. Handling is optimized through support for virtualization platforms from VMware and Red Hat and support management tools.
For operators of peripheral computing who need a comprehensive solution, Nvidia even offers “RTX Server CloudXR 5G MEC DevKit” is literally a server box with all the necessary hardware and software for cloud visualization streaming, AR/VR, which can be connected to an existing data center for testing.
It will be some time before we can see the streaming of CloudXR offered the real end users, but Nvidia hopes that this is an important first step toward creating a future viable cloud flow of AR/VR.
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