The rapid advancement of artificial intelligence and the law of scale
Artificial intelligence has evolved through stages of Perception AI, Generative AI, and Intelligent Agent AI, and is now marching towards Physical AI. The advent of Transformer has radically transformed the landscape of artificial intelligence and computing. Driven by the law of scale—data scale, training scale, and testing time scale—AI development requires a continuous expansion of computational power.
**NVIDIA’s New Generation GPU: RTX Blackwell Series**
The launch of the RTX 50 series Blackwell architecture GPUs represents a significant leap in performance, particularly in AI and ray tracing capabilities. Utilizing AI technologies like DLSS, these GPUs enhance rendering efficiency, generating higher-quality images with less computational effort. The Blackwell series GPUs for laptops match the high performance of desktop counterparts.
**AI Supercomputers and AI Factories**
The introduction of supercomputer systems based on the Blackwell architecture, boasting a computing power of 1.4 exaflops, is designed to generate the “tokens” required for AI. These systems, akin to “AI factories,” mass-produce the computational power needed for AI, significantly enhancing energy efficiency and cost-effectiveness.
**Autonomous AI and NVIDIA’s Toolkit**
Autonomous AI is the future direction, requiring multiple models to work in concert for reasoning and prolonged contemplation. NVIDIA offers tools like NVIDIA NIMS, NVIDIA Nemo, and LLAMA Nemotron to help businesses build and deploy autonomous AI, including the creation of digital employees (AI agents).
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AI in PCs and Development Tools
Through Windows WSL2, NVIDIA’s AI technology is integrated into Windows PCs, elevating them to a premier AI platform. A suite of AI models (vision, language, speech, etc.) and development blueprints are provided, making it easy for developers to engage in AI development on their PCs.
Physical AI and NVIDIA Cosmos
Physical AI is the next frontier, necessitating the construction of “world models” that understand the physical world. NVIDIA Cosmos is introduced as a development platform for world foundational models, generating synthetic data for training AI models. Combined with Omniverse, Cosmos can create a multiverse generator based on physical simulations for robotics training and industrial applications.
Robotics Technology and NVIDIA Isaac Groot
The era of general robotics is imminent, with humanoid robots being a key development direction. NVIDIA Isaac Groot is released, a platform for synthetic motion generation, producing vast synthetic data from minimal human demonstration for training humanoid robots.
Autonomous Vehicle Technology
The autonomous vehicle revolution is here, with NVIDIA offering a complete solution from training to deployment. The next-generation autonomous vehicle computer, Thor, is unveiled, boasting significantly improved performance and ASIL-D safety certification. Omniverse and Cosmos are used to generate synthetic driving scenarios for training autonomous AI models.
NVIDIA DGX New Generation AI Supercomputer
A new generation of AI supercomputers is introduced, aiming to provide all developers with easy access to AI computing power, powered by the compact Grace Blackwell chip. This marks a significant step forward in democratizing AI capabilities.
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