Group 1 - Nvidia will hold its next GTC conference from March 16 to 19, 2026, in San Jose, USA, which is considered a significant event in the global AI sector [1] - The upcoming conference is expected to attract developers, entrepreneurs, and tech enthusiasts from around the world, indicating its growing importance [3] - Key highlights of the next conference will include the Rubin GPU and Vera CPU, which are rumored to outperform the current Blackwell chip and support large-scale AI training [4] Group 2 - Nvidia is expanding beyond hardware with initiatives like the AI factory operating system Dynamo, the robot model Isaac GR00T, and the physics engine Newton, aiming to create a comprehensive intelligent ecosystem [4] - Nvidia's stock has surged over 50% this year, with a market capitalization exceeding $2 trillion, making it one of the most valuable tech companies globally [4] - The rapid development of AI technology raises concerns about job displacement and the ability of the general public to keep pace, which may be addressed at the upcoming conference [4] Group 3 - Chinese tech companies like Huawei and Cambricon are rapidly developing their own AI chips, indicating a competitive landscape in the AI sector [4] - The competition in technology ultimately benefits humanity as a whole, highlighting the positive impact of innovation [4] - The anticipation for the next GTC conference suggests that it will be a significant event for technological advancements and industry insights [4]

Group 1 - Nvidia's CEO Jensen Huang emphasized the impracticality of training robots in the physical world, advocating for training in a virtual environment that adheres to physical laws [1] - Nvidia is collaborating with DeepMind and Disney Research to develop a cutting-edge physics engine called Newton, which will be open-sourced in July [1] - The Newton engine supports GPU acceleration and features high differentiability and ultra-real-time operation capabilities, enabling effective learning through experience [1] Group 2 - Nvidia is advancing robotic systems in the automotive industry using the Isaac Groot platform, powered by a new processor named Jetson Thor, designed for a wide range of robotic applications [3] - The Isaac operating system manages neural network processing, sensor processing, and data pipelines, enhancing system capabilities with pre-trained models developed by specialized teams [3] - Nvidia's end-to-end autonomous vehicle technology stack is a comprehensive solution developed entirely in-house, facilitating collaboration with various partners to promote the commercialization of autonomous vehicles [3] Group 3 - Nvidia is applying its AI models to autonomous vehicles, launching a fleet in collaboration with Mercedes globally, aiming for implementation of end-to-end autonomous driving technology this year [5]