Keynote Address by NVIDIA CEO Jensen Huang at CES 2025 Delivered by Jensen Huang
In the tech world, few names resonate as significantly as Nvidia. Established in 1993, the company has been at the forefront of innovations in Artificial Intelligence (AI) and computer graphics for over two decades.
Nvidia's early success was built on its focus on developing Graphics Processing Units (GPUs) for gaming and graphics, offering high-performance graphics cards that set a new standard in the industry.
The company's commitment to high-performance computing took a major leap in 2006 with the introduction of the Tesla Architecture. Each subsequent architecture, named after a notable figure in technology, science, or mathematics, has built on this foundation, driving advancements in performance, energy efficiency, and AI capabilities. Notable architectures include Fermi, Kepler, Maxwell, Pascal, Volta, Turing, Ampere, Ada Lovelace, Hopper, and Grace.
One of Nvidia's most significant contributions to the AI and deep learning field was the introduction of the CUDA platform in 2007. This revolutionary tool allowed developers to use GPUs for general-purpose computing, significantly boosting AI and deep learning capabilities by parallelizing operations.
In 2009, Nvidia played a crucial role in the "big bang" of deep learning by providing GPUs that accelerated deep neural networks. This acceleration led to breakthroughs in various fields, including image recognition, natural language processing, and autonomous vehicles.
In 2017, Nvidia introduced Tensor Cores, specifically designed for AI workloads, providing massive acceleration for matrix operations.
The Turing Architecture, introduced in 2018, marked a significant focus on AI with advancements in ray tracing and AI-enhanced graphics. This focus has continued with subsequent architectures, such as Ampere, which offer significant improvements in AI capabilities and performance.
Nvidia's recent rise to becoming the most valuable company, fueled by the AI gold rush, underscores its significant contributions to AI and computing technologies. The company's flagship GB200 NVL72 GPU, integrated with 72 Blackwell GPUs, delivers 1.4 exaflops of AI floating-point performance and 14 terabytes of memory with 1.2 petabytes/second bandwidth.
Nvidia is also contributing to the autonomous vehicle industry by providing technology for training, data generation, and vehicle control. The new Blackwell platform is designed to support more powerful data centers and advanced AI development.
Project DIGITS, set for release in May 2025, is Nvidia's newest "out of the box" AI supercomputer, powered by the Grace Blackwell GB110 chip and integrating Nvidia's full AI software stack. The company's focus is to transform Windows WSL2 Windows PC into a primary, long-term supported platform, envisioning a future where PCs become AI-powered personal assistants, revolutionising workflows and creativity.
Nvidia's agentic AI can be used for tasks like knowledge assistance, climate modeling, software security, drug discovery, and industrial analytics. The company offers three key frameworks for developing and deploying agentic AI: NIM, NeMo, and language foundation models.
In addition to these advancements, Nvidia is also making strides in graphics and visualization innovations. The company's technologies like ray tracing, DLSS (Deep Learning Super Sampling), AI Super-Resolution, and Cosmos are revolutionising the way graphics are rendered and data is processed.
As Nvidia continues to push the boundaries of AI and graphics, it is clear that the company's impact on the tech industry will be felt for years to come.
Nvidia's focus on high-performance computing, as exemplified by the introduction of the Tesla Architecture and subsequent advancements, has significantly boosted productivity in Artificial Intelligence (AI) and deep learning fields. The company's commitment to developing technologies like CUDA, Tensor Cores, and Project DIGITS, has drastically improved AI capabilities and performance, contributing to breakthroughs in various sectors.
