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Recently, NVIDIA released the NVQLink interconnect technology, which connects QPUs (quantum processing units) with GPUs. This technology has gained support from 17 quantum computing companies, 5 controller manufacturers, and 9 U.S. national laboratories, and will accelerate quantum error correction and hybrid simulation processes. At the same time, NVIDIA announced a collaboration with the U.S. Department of Energy to build 7 new AI supercomputers, one of which will be equipped with 10,000 Blackwell GPUs, driving advancements in computing power for scientific research and defense.   At the industry application level, NVQLink has demonstrated clear commercialization potential. In the field of drug development, quantum processors rapidly generate candidate molecular structures, while GPU clusters simultaneously carry out simulations and validations of millions of compounds, significantly shortening the new drug development cycle. In the financial sector, JPMorgan is testing a risk modeling system based on this technology, which combines quantum optimization algorithms with real-time GPU computing to improve the predictive accuracy in extreme market scenarios. In his speech, Jensen Huang emphasized: 'The breakthrough in quantum computing does not lie in improving the performance of QPUs alone, but in enabling efficient collaboration between quantum and classical computing power.' According to McKinsey, by 2030, quantum computing will generate over $1 trillion in economic value, with hybrid computing architectures taking the lead. With the rollout of NVQLink, NVIDIA is transforming from an AI computing power leader into a builder of the quantum ecosystem, driving the global computing industry into a new era of 'quantum-classical' synergy.

                                       When artificial intelligence (AI) moves from laboratories to the frontlines of industries, a transformation centered on efficiency, innovation, and value has quietly begun. In 2025, AI technology is no longer a "buzzword" floating above industries; instead, it has become a "core engine" deeply integrated into the entire chains of production, services, and decision-making, offering enterprises new possibilities to address pain points and open up new horizons. The AI wave in 2025 is no longer an exclusive game for industry giants. We adhere to a transformation path characterized by "high cost-effectiveness and smooth implementation". Whether it is small and medium-sized enterprises (SMEs) with limited budgets or large enterprises seeking end-to-end upgrades, all can achieve intelligent leaps through customized solutions. From integrating data to implementing scenario-based applications, and from making breakthroughs in specific areas to optimizing overall operations, we have always taken "empowering business with technology" as our core. This approach ensures that AI is not merely a tool for improving efficiency, but more importantly, a core competitive edge for enterprises to resist risks and seize opportunities. AI competition is no longer a matter of 'whether to deploy,' but a mandatory question of 'how to deeply integrate.' When intelligent agents become the 'infrastructure' of business operations, companies that can deeply link AI with business strategy and organizational management will inevitably seize the initiative in this industrial reshaping and lead the next growth cycle. As industry experts have said: 'After the technological dividend fades, the key to success lies in experience dividends and ecological dividends.' In today's world, where AI is reshaping business rules, only by actively embracing change and accurately grasping trends can intelligent technology truly become the core engine for enterprises to navigate cycles and sustain growth.

When artificial intelligence (AI) moves from laboratories to the frontlines of industries, a transformation centered on efficiency, innovation, and value has quietly begun. In 2025, AI technology is no longer a "buzzword" floating above industries; instead, it has become a "core engine" deeply integrated into the entire chains of production, services, and decision-making, offering enterprises new possibilities to address pain points and open up new horizons. The AI wave in 2025 is no longer an exclusive game for industry giants. We adhere to a transformation path characterized by "high cost-effectiveness and smooth implementation". Whether it is small and medium-sized enterprises (SMEs) with limited budgets or large enterprises seeking end-to-end upgrades, all can achieve intelligent leaps through customized solutions. From integrating data to implementing scenario-based applications, and from making breakthroughs in specific areas to optimizing overall operations, we have always taken "empowering business with technology" as our core. This approach ensures that AI is not merely a tool for improving efficiency, but more importantly, a core competitive edge for enterprises to resist risks and seize opportunities. AI competition is no longer a matter of 'whether to deploy,' but a mandatory question of 'how to deeply integrate.' When intelligent agents become the 'infrastructure' of business operations, companies that can deeply link AI with business strategy and organizational management will inevitably seize the initiative in this industrial reshaping and lead the next growth cycle. As industry experts have said: 'After the technological dividend fades, the key to success lies in experience dividends and ecological dividends.' In today's world, where AI is reshaping business rules, only by actively embracing change and accurately grasping trends can intelligent technology truly become the core engine for enterprises to navigate cycles and sustain growth.

Recently, NVIDIA released the NVQLink interconnect technology, which connects QPUs (quantum processing units) with GPUs. This technology has gained support from 17 quantum computing companies, 5 controller manufacturers, and 9 U.S. national laboratories, and will accelerate quantum error correction and hybrid simulation processes. At the same time, NVIDIA announced a collaboration with the U.S. Department of Energy to build 7 new AI supercomputers, one of which will be equipped with 10,000 Blackwell GPUs, driving advancements in computing power for scientific research and defense.   At the industry application level, NVQLink has demonstrated clear commercialization potential. In the field of drug development, quantum processors rapidly generate candidate molecular structures, while GPU clusters simultaneously carry out simulations and validations of millions of compounds, significantly shortening the new drug development cycle. In the financial sector, JPMorgan is testing a risk modeling system based on this technology, which combines quantum optimization algorithms with real-time GPU computing to improve the predictive accuracy in extreme market scenarios. In his speech, Jensen Huang emphasized: 'The breakthrough in quantum computing does not lie in improving the performance of QPUs alone, but in enabling efficient collaboration between quantum and classical computing power.' According to McKinsey, by 2030, quantum computing will generate over $1 trillion in economic value, with hybrid computing architectures taking the lead. With the rollout of NVQLink, NVIDIA is transforming from an AI computing power leader into a builder of the quantum ecosystem, driving the global computing industry into a new era of 'quantum-classical' synergy.