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NVIDIA CEO, Jensen Huang, Delivers Keynote Speech at CES 2025 - A Recap by Jensen Huang

Sparking a Revolution in Computing and AI: Nvidia's Groundbreaking Journey, Initiated in 1993.

Presentation Highlights: Keynote Address by NVIDIA CEO Jensen Huang at CES 2025 Delivered by Jensen...
Presentation Highlights: Keynote Address by NVIDIA CEO Jensen Huang at CES 2025 Delivered by Jensen Huang Himself

NVIDIA CEO, Jensen Huang, Delivers Keynote Speech at CES 2025 - A Recap by Jensen Huang

At the Consumer Electronics Show (CES) 2025, Nvidia's CEO, Jensen Huang, outlined the company's significant strides and future plans in AI and computing technology, reinforcing Nvidia's leadership in the AI industry.

One of the key announcements was the unveiling of Project DIGITS, a personal AI supercomputer powered by the new Grace Blackwell Superchip. This innovative technology aims to bring supercomputing power to the desks of AI researchers, data scientists, and students worldwide, making AI development more accessible and powerful outside of large data centers.

In addition, Nvidia launched the GeForce RTX 50 Series GPUs, based on the Blackwell architecture. These GPUs, with 92 billion transistors, are capable of performing 3,352 trillion AI operations per second. They employ advanced AI-driven technologies like Deep Learning Super Sampling 4 (DLSS 4), which uses AI to generate additional frames and significantly boost gaming performance while reducing computational load.

Nvidia also introduced AI foundation models for RTX PCs through Nvidia NIM microservices, providing open-source blueprints that developers and creators can customize to generate digital content. The company emphasized an ecosystem approach, supporting over 5 million developers leveraging Nvidia’s AI platforms.

In the automotive sector, Nvidia announced a strategic partnership with Toyota to advance automated driving technologies, expanding Nvidia's role in the autonomous vehicle industry. The company's Drive OS AI computer has been certified ASIL D, the highest functional safety standard for automobiles.

Nvidia's focus has shifted from perception AI towards generative and agentic AI. To support this transition, the company offers systems, blueprints, and models to facilitate the implementation of agentic AI. The Isaac GROOT platform, for instance, provides a complete technology stack for training humanoid robots, including robot foundation models, data pipelines, simulation frameworks, and the Thor robotics computer.

Moreover, Nvidia's Cosmos and Omniverse platforms are set to revolutionize physical AI, incorporating autoregressive and diffusion-based world foundation models, advanced video tokenizers, and AI-accelerated pipelines to handle large datasets. These platforms can be used in conjunction with Cosmos to create physically and spatially accurate simulations and generate realistic synthetic data.

Nvidia's Thor robotics processor, based on the Hyperion 9 platform, offers 20X the processing power of its predecessor, Orin, and is destined for AV use. The company is also accelerating the development of autonomous vehicles by offering technology for training, data generation, and vehicle control.

Lastly, Nvidia will soon offer AI-powered Windows PCs, and the new Blackwell platform offers higher performance at lower cost. The new Project DIGITS packs a supercomputer in a small box, set for release in May 2025.

In summary, Jensen Huang's CES 2025 keynote showcased Nvidia’s commitment to accelerating AI adoption across computing, graphics, autonomous vehicles, robotics, and emerging quantum technologies, making AI more accessible, powerful, and integrated into diverse industries.

In the keynote at CES 2025, Nvidia outlined their plans for Project DIGITS, a personal AI supercomputer, aiming to enhance productivity by making supercomputing power accessible to AI researchers, data scientists, and students via the innovative Grace Blackwell Superchip.

Similarly, Nvidia's GeForce RTX 50 Series GPUs, based on the Blackwell architecture, boost gaming performance by employing Deep Learning Super Sampling 4 (DLSS 4), an AI-driven technology that reduces computational load.

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