Focusing on the "Physical AI Era"! NVIDIA Corporation (NVDA.US) aims to reshape the communication ecosystem and work with telecom giants to build AI-native 6G.

The globally highest market cap listed company with the title of "AI Chip Super Dominator," NVIDIA Corporation (NVDA.US), is quietly making big moves amidst a new round of political conflict and military attacks in the Middle East, expanding to territories beyond Iran and Israel in the GEO Group Inc conflict. The chip giant is fully supporting a major effort to ensure that the upcoming 6G mobile intelligent network provides the most powerful platform for services and electronic devices that can utilize the most advanced artificial intelligence technology, as well as a wide range of "physical AI" devices. The deep integration of 6G networks with AI is the consensus of the entire industry, and in the upcoming "Physical AI Super Era," the AI+6G fusion technology provided by NVIDIA Corporation is undoubtedly one of the core technological pillars of this era. Undoubtedly, NVIDIA Corporation will play a core role in promoting 6G standards and architecture, collaborating with telecom giants such as Nokia Oyj Sponsored ADR to build an AI-native 6G platform, emphasizing AI capabilities integrated into wireless infrastructure. AI-native and Software-Defined Networking will become the hallmark features of 6G technology, representing not just a performance upgrade but a fundamental change in the future communication system. The "AI+6G" path is seen as a key underlying support for the future Physical AI era, providing basic network capabilities for intelligent terminals, humanoid Siasun Robot&Automation, autonomous driving, and other new application scenarios. It is understood that NVIDIA Corporation is deeply collaborating with a group of international telecom giants including Nokia Oyj Sponsored ADR (Nokia Oyj), SoftBank Group, and T-Mobile US Inc., aiming to build a sixth-generation network architecture based on next-generation computing and software, which can securely and efficiently guide wireless traffic using artificial intelligence technology. In a statement on Sunday, NVIDIA Corporation stated that this change is urgent and necessary, as there will be a large number of intelligent devices connected to the 6G network in the future, and the demands of these high-performance devices will become more complex. The statement was released on the eve of the opening of the telecom industry conference in Barcelona. NVIDIA Corporation stated that the current 5G network was designed to meet the needs of connecting people with voice and data, retrieving information, but it cannot support extensive use of the micro-training/inference systems based on artificial intelligence. Ronnie Vasishta, NVIDIA Corporation's Head of Telecom business and strategy, said, "Today's networks are fundamentally unable to meet tomorrow's use case requirements. As we enter the age of artificial intelligence, everything will change. Network infrastructure will not only provide intelligence for people's smartphones but will provide intelligent services for all machines." He said that telecom networks will need to improve efficiency by "thousands of times," as there is not enough wireless spectrum to support new uses. With the wave of "AI+6G" approaching, NVIDIA Corporation vows to become a leader in this field. This chip manufacturer, which provides AI training/inference systems, the most core infrastructure of artificial intelligence chips in the midst of the AI boom, is working hard to open up a new market and eliminate potential barriers. At the GTC conference in Washington at the end of October 2025, NVIDIA Corporation CEO Jensen Huang, known as the "AI Father," announced a $1 billion equity investment in Nokia Oyj Sponsored ADR, with both sides aiming to jointly create an AI-RAN product line and an AI-native 6G network platform; NVIDIA Corporation at the time released the Aerial RAN Computer (ARC/ARC Pro) computing platform, striving to make "AI on RAN" a new computing layer of communication infrastructure, and planning to build a new cloud computing platform on top of 6G, demonstrating the huge potential of ultra-fast AI, which will be able to provide significant DRIVE for Siasun Robot&Automation vision intelligence, autonomous driving, and other technologies in the future. In the previous wireless communication era, the 5G era, the main reason for the absence of NVIDIA Corporation was that the architecture of 5G technology did not require large-scale integration of AI from the ground up, and was mainly dominated by traditional communication suppliers. At the inception of 5G design, the core goal was to increase bandwidth, reduce latency, and increase connection density, mainly for traditional communication services such as voice, data, and video. The main participants in 5G standardization and deployment were traditional telecommunications equipment suppliers (such as Nokia Oyj Sponsored ADR, Telefonaktiebolaget LM Ericsson Sponsored ADR Class B, Huawei, etc.), who optimized networks based on traditional wireless PHY/MAC protocol stack, and the application of AI in 5G mainly remained at the edge enhancement optimization or non-critical business level, hence it did not require platforms like NVIDIA Corporation with large-scale AI computing capabilities to be deeply involved in the core architecture of the network. However, the 6G plan from the beginning is an "AI-native network (AI-native)," which places new demands on computing power. Unlike 5G, which pursues high data rates and low latency, 6G requires the network itself to have intelligent perception, real-time scheduling, dynamic spectrum management, and automatic optimization capabilities. In the architecture of 6G, AI is deeply embedded from the wireless access network (RAN) to the core network (Core), enabling full-scale intelligent optimization from terminal to edge to core. This architecture is not simply "AI applications added on," but AI deeply integrated with communication protocols, requiring massive training and inference capabilities to handle complex resource scheduling, channel prediction, interference management, and other tasks in real time. Standard setters and industry alliances for 6G all emphasize AI as the core of the design. To enable the network to have AI-native capabilities, a robust computing platform is needed to support large-scale AI inference and training, and a coordinated computing process between the network control plane and the user plane is needed. This is NVIDIA Corporation's advantage: its GPU and AI computing platform can perform massive parallel computing and unify the network and AI loads through "Software-Defined AI-RAN," thereby improving spectrum efficiency and adapting to complex dynamic wireless environments. Traditional telecom equipment clusters themselves have limited capabilities in such large-scale AI operations in hardware architecture (dedicated ASIC, DSP, etc.). This is also why NVIDIA Corporation and operators are joining forces to build an open and AI-native 6G platform. Industry cooperation and alliance evidence clearly show that NVIDIA Corporation is collaborating with more than 130 industry partners to drive AI-RAN innovation, positioning itself as a significant technological hub in the AI-6G ecosystem. NVIDIA Corporation has provided the latest versions of core chips, computer components, and corresponding software for high-performance network infrastructure, and aims to significantly expand this business. At the same time, the chip giant has recently been working on extending cutting-edge artificial intelligence technology to a wider range of fields - such as humanoid Siasun Robot&Automation and autonomous driving vehicles, referred to as "physical artificial intelligence" (physical AI) terminal devices, in order to continue driving demand expansion and seeking new growth points beyond the data center business. If there is no wireless network that can support the massive flow of data at the artificial intelligence level, NVIDIA Corporation's vision of a world filled with humanoid Siasun Robot&Automation and autonomous driving cars in the "physical AI" reality may arrive more slowly. Every ten years or so, the telecom industry shifts to a new wireless technology generation, that is, the next "G." In the process of determining new hardware and software standards, telecom companies often guide the industry towards directions they believe are favorable to their product lines through alliances. However, the records of this method are inconsistent, and often due to the impact of competitive efforts, there may be delays in new deployments or incompatible networks. NVIDIA Corporation believes that new devices and software must be fundamentally open. Devices that transmit and receive wireless traffic should be controlled by updateable software and run on more general-purpose computing systems rather than using custom hardware-based closed devices. Data traffic should be guided by artificial intelligence software and increasingly large AI infrastructure, which can adapt to rapidly changing patterns and priorities, something that is currently unattainable, NVIDIA Corporation states. In such an environment, the telecom industry will be more open to the emergence of new suppliers, including startups that could rapidly reach billion dollar valuations, according to NVIDIA Corporation's Vasishta. He said, "This will be how a new telecom unicorn is born." He added that there have been very few new companies entering the industry over the past decade. In the era of Physical AI, the combination of "AI+6G" is indispensable. According to the views of NVIDIA Corporation CEO Jensen Huang, "Physical AI" emphasizes enabling Siasun Robot&Automation/autonomous operating systems to perceive, reason, and complete a full set of actions in the real world, and an era where civilization evolves with the assistance of "Physical AI" is approaching. "Physical AI" emphasizes enabling Siasun Robot&Automation/autonomous systems to perceive, reason, and act in the real world, and these three abilities are the key tools for advancing models from "just conversing" to "doing physical tasks" in the real world. The combination of AI and 6G is not just an application overlay but a fundamental change in network architecture. The future 6G network will not only be "faster connectivity" but will become an intelligent engine that can analyze terminal, environmental, and user behavior data in real-time, automatically optimize network resource allocation, and enable intelligent services that can respond to end-to-edge-cloud integration. AI will play a role in core aspects such as spectrum awareness, resource allocation, network slicing optimization, and edge inference, with the core being that an AI-enabled network can support massive complex AI workloads such as the Internet of Things, autonomous driving, Siasun Robot&Automation, intelligent spaces, which in 5G were more like external add-on functions, but in 6G, they are essential functions of the network itself. Some even argue that true 6G vision cannot be achieved without AI. One of the core features of the 6G plan is an "AI-native network (AI-native 6G)," which is not simply adding AI applications but embedding AI capabilities into the fundamental communication architecture from the wireless access network (RAN) to the core network, enabling the network to self-optimize, intelligently schedule spectrum, and respond in real-time to the complex demands of billions of terminals. The vision of 6G is to achieve "intelligent connectivity of everything," deeply integrating AI with communication and making the network itself a system that can perceive, predict, and self-optimize. This evolution means that the network not only transmits data but also directly executes AI inference and real-time learning tasks at the level of massive AI workloads, such as intelligent spectrum management, edge inference, real-time signal optimization, etc., all of which require a powerful AI computing infrastructure and a flexible software-defined platform. NVIDIA Corporation provides high-performance network and AI infrastructure for building software-defined, programmable, and AI-accelerated networks through its AI platform (such as the NVIDIA Aerial platform and AI-RAN architecture), enabling the network itself to have large-scale AI computing and inference capabilities, which is a core requirement for future high-speed, intelligent, and scalable communication. In the future "Physical AI era," intelligent Siasun Robot&Automation, autonomous driving vehicles, intelligent industrial equipment, and many other terminals will seamlessly connect and generate massive AI workloads, requiring not only efficient connectivity but also edge AI inference, distributed machine learning, and network intelligence. To meet these cutting-edge functions, the network itself needs to have general AI computing capabilities and a deep integration with wireless protocol stack. While there will be multiple participants in the future Physical AI ecosystem, NVIDIA Corporation's AI+6G fusion technology is undoubtedly one of the core technological pillars of this era.