With 46 percent growth over last year in earnings, Nvidia is a major player in the hi-tech world. The record entries in the gaming and data center sector are just the icing on the cake of a huge offer that includes GPU, CPU, chip, robotic processors. The Santa Clara, California-based company is one of the most forward-looking: in 2015 it started the beta of the revolutionary GeForce Now service to play in the cloud, now reaching more than ten million subscribers. In an exclusive interview with David Hogan, Vice President Enterprise of the EMEA region, it is possible to discover that the company will be expanding its services in the future, starting with GeForce Now. “GeForce Now is constantly evolving: the original beta of GRID in 2013 it was using Kepler GPU at 720p and 30 FPS and in 2015 we launched GeForce Now using Pascal GPU at 1080p and 60 FPS. More recently, we introduced the Ampere SuperPOD generation (RTX 3080) which streams up to 4K or 120 FPS on many devices, “explains Hogan.” We are excited about the prospects of 5G and GeForce Now. The 5G network offers excellent bandwidth and low latency, which we have been testing for two years with our Korean partner LGU +: in Seoul it is already possible to play GeForce Now even on the subway and it works great. We have also worked to improve the native touch-to-cloud experience of GeForce Now and the results are fantastic, with a very intuitive way to enjoy cloud gaming on your 5G phone with touchscreen input. This all culminated, just recently, in the launch of Fortnite on iOS Safari and Android mobile devices. We are planning to extend this possibility to other games soon. The future will bring more devices, more games and ever more consistent quality of service. Not only that, even more links to launch cloud gaming from anywhere and games that scale better from 6 “to 60” screens, as well as cloud-native games that only run in the cloud and are designed to harness the full power of SuperPODs. The only limit to the future development of cloud gaming is our imagination. And Nvidia intends to continue to be a leader in cloud gaming technology and performance. “
As for the metaverse and virtual reality, Nvidia has clear ideas: “We will continue to support VR and today’s best VR experiences are driven by our industry-leading GPUs, enabling immersive, fluid experiences with maximum graphics fidelity, “says Hogan.” From hardware to drivers to SDKs, we’ve created the full-stack solution that developers and users rely on to improve and accelerate VR. And we continue to pursue innovation to deliver fantastic immersive experiences across the spectrum of Virtual Reality, Augmented and Mixed Reality. Our latest innovations include AI for upscaling VR with DLSS and natural interactions with RIVA, streaming for mobility with maximum fidelity with CloudXR, and ray tracing for photorealistic VR experiences with RTX and Omniverse VR. Thanks to the impressive capabilities of these technologies, Nvidia continues to transform and push the boundaries of the VR industry with groundbreaking developments. There are several critical components that contribute to the design of a video card capable of supporting VR on PC. Since VR requires over 90fps, in stereo, with a resolution of over 2k per eye, it is essential to accelerate rendering with scalability optimizations for stereo or quad displays (Multi-View Rendering, or MVR) across multiple GPUs (VR-SLI ) and with an optimized rendering based on the direction of the gaze (Variable Rate Shading, or VRS). In addition, we also take advantage of GPU-accelerated artificial intelligence for intelligent upsampling (DLSS) and interaction (RIVA). Finally, ultra-fast hardware encoders are essential to support XR (CloudXR) streaming and deliver the highest quality VR experiences to users around the world. “
“The metaverse is a very broad concept, the next evolution of the Internet, the extension of physical and virtual worlds. This new evolution of the web will be much larger than the physical world because, like the web, almost all industries will benefit from hosting and participating in virtual worlds, “continues Hogan.” An essential aspect for all these worlds is that they have a foundation. common for the way they are presented, experienced and, above all, connected. For this reason we built Omniverse on USD (Universal Scene Description), a powerful description of the open-source scene that we believe could be a real HTML of the metaverse. Nvidia Omniverse is a technology platform focused on connecting and building physically accurate virtual worlds and “digital twins”, created to help solve the world’s most complex engineering and scientific problems. With Omniverse, designers, engineers, artists, researchers and robotics experts – anyone who works with 3D tools and data – can connect and enhance their 3D workflows, both for use cases and content creation within design, and for industrial or scientific use cases “.
Meanwhile, the chip crisis has hit Nvidia like all other companies in the industry: “Demand has outstripped supply in all of our businesses“, comments Hogan.” The limitations affect many areas, including wafers, components and logistics, but in any case we have taken steps to procure long-term supplies to support our growth in the next year and beyond. We are also working with our supply chain to further increase availability. “But Nvidia does not stop experimenting, for example with the Grace Hopper superchip that fuses GPU and CPU for complex computation and AI management, as VP Hogan illustrates. : “The Grace Hopper superchip pairs an Nvidia Hopper GPU with a Grace CPU via NVLink-C2C in an integrated module. Thanks to the NVLink-C2C interconnect, the Grace CPU transfers data to the Hopper GPU 15 times faster than traditional CPUs. Nvidia created the Grace Hopper Superchip to respond to AI applications, HPC and accelerated computing on a large scale “. In short, the technology is destined to evolve more and more, but to what extent?” Artificial intelligence is already ‘superhuman’, but for very limited tasks. Right now AI is being used for specific tasks to solve real-world problems: from manufacturing robots to self-driving cars with voice translation, where drivers will be able to naturally talk to each other in different languages. However, for the more general human tasks we are still very far from the technological singularity “.
#future #Nvidia #faster #cloud #games #smart #metaverse