NVIDIA’s CEO, Jensen Huang, has confirmed that 2025 marks a groundbreaking shift in AI technology with the emergence of a new and advanced paradigm known as "Inferential AI." Unlike traditional AI models that generate text, images, and videos, Inferential AI is capable of logical reasoning—analyzing problems, breaking them down into smaller components, and solving them systematically, much like human thought processes. Huang emphasized that the pace of AI evolution is unprecedented, as it has rapidly transitioned from generating content to understanding and solving complex problems in just one year. This breakthrough could pave the way for the development of highly intelligent robots shortly, significantly altering how humans interact with machines. He also introduced the R1 model, the world’s first open-source Inferential AI system, which can self-validate its responses, ensuring a higher level of accuracy and reliability. Compared to conventional AI, Inferential AI is 100 times faster but requires 100 times more energy consumption, making it a revolutionary yet power-intensive advancement. Furthermore, Huang revealed that NVIDIA is actively collaborating with industry leaders to harness Quantum Computing, which is expected to be the key to accelerating computational processes. This technology could unlock unparalleled efficiency in AI-driven solutions, pushing the limits of what artificial intelligence can achieve. Jensen Huang made these groundbreaking announcements during his keynote at NVIDIA GTC 2025. GTC (GPU Technology Conference) is NVIDIA’s annual global event, where industry leaders, developers, and AI researchers come together to showcase the latest advancements in AI, deep learning, robotics, and high-performance computing. The conference has become a pivotal platform for unveiling cutting-edge AI technologies, making it a must-watch event for anyone following the future of artificial intelligence. Following his keynote, Jensen Huang sat down for an exclusive interview with Jim Cramer on CNBC Television, where he elaborated on the rapid evolution of AI and the impact of Inferential AI on industries worldwide. Huang reiterated that the future is arriving faster than we ever imagined, and businesses must adapt quickly to harness the full potential of AI-driven innovation. He emphasized that with the convergence of Inferential AI and Quantum Computing, the possibilities are limitless. This technological breakthrough signals a transformative phase in AI development, making 2025 a pivotal year for the future of artificial intelligence. With Inferential AI leading the charge, we are closer than ever to machines that think, reason, and solve problems just like humans. NVIDIA GTC continues to be the stage where these revolutionary ideas are introduced, shaping the next wave of technological advancements.