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AI Digital Architect at IMDA Innovation | Corporate Group

NVIDIA is pushing the boundaries of AI across energy efficiency, autonomous decision-making, virtual training, and space exploration. Key Highlights: 1. Transition to Intention-Level Computing: • NVIDIA is moving from traditional instruction-based computing to intention-level computing, where AI systems understand and act based on user intent, leading to more natural and proactive human-computer interaction. 2. Agentic AI: • The introduction of agentic AI, where AI agents autonomously manage and optimize industrial processes in real time. These agents can communicate across various business areas (e.g., manufacturing and supply chains) to enhance efficiency and productivity. 3. Energy Efficiency Gains: • NVIDIA has achieved a 100,000x reduction in energy consumption over the last decade for certain AI processes, making their systems much more energy-efficient. This includes a 200x reduction in energy consumption for AI training. 4. Blackwell Platform: • The Blackwell platform is NVIDIA’s next-generation AI infrastructure, designed for accelerated computing and full-stack optimization. This includes the use of AI superclusters and the CUDA libraries for advanced AI workloads. 5. Omniverse and Digital Twins: • The Omniverse platform allows the use of virtual environments to train AI systems that will operate in the real world. This is crucial for industries like manufacturing, where AI can be trained virtually before deployment in physical environments. 6. Confidential Computing for AI Security: • NVIDIA has integrated confidential computing to protect large language models (LLMs) and ensure the security of AI data. This is critical for safeguarding sensitive information during AI training and usage. 7. Real-Time Detection of Fast Radio Bursts (FRBs): • NVIDIA’s technology is enabling real-time detection of FRBs from distant galaxies, enhancing the search for extraterrestrial life by analyzing these high-energy signals from deep space almost instantaneously.

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