Jensen Huang Foresees: All Industries Embracing Technology in 2024

NVIDIA founder and CEO Jensen Huang predicts that every industry will become a technology industry this year, and discusses the transformative power of generative AI in healthcare during the J.P. Morgan Healthcare Conference.

NVIDIA is actively collaborating with domain experts and investing in techbio companies to propel the field of computer-aided drug discovery forward.
The company is building state-of-the-art AI models and powerful computing platforms, paving the way for advancements in drug discovery and design.
As AI continues to advance, these computing tools are becoming more accessible to a wider range of users, closing the technology divide and making programming more accessible to everyone.

During the annual J.P. Morgan Healthcare Conference, nVidia founder and CEO Jensen Huang made a bold statement, declaring that every industry will become a technology industry this year. Speaking in a fireside chat with Martin Chavez, partner and vice chairman of global investment firm Sixth Street Partners, Huang discussed the transformative power of generative AI.

The conversation took place at the historic SAN Francisco Mint and followed a presentation by Kimberly Powell, NVIDIA’s VP of healthcare, earlier in the week. Powell announced that Recursion, a biopharmaceutical company, is the first hosting partner to offer a foundation model through the NVIDIA BioNeMo cloud service, which is set to enter beta testing this month. She also revealed that Amgen, a leading biotechnology company, plans to leverage generative AI and NVIDIA DGX SuperPOD for drug discovery, joining a growing list of organizations utilizing BioNeMo, including Deloitte, Innophore, Insilico Medicine, OneAngstrom, Recursion, and Terray Therapeutics.

Huang highlighted NVIDIA’s longstanding involvement in accelerated healthcare, tracing it back to two research projects around 15 years ago. One project used NVIDIA GPUs to reconstruct CT images at Mass General, while another applied GPU acceleration to molecular dynamics at the University of Illinois Urbana-Champaign. These projects demonstrated the potential for applying computer-aided chip design methodologies to advance drug discovery.

According to Huang, engineers can now build complex computing systems entirely in simulation thanks to 40 years of advancements in computer-aided chip design. He believes that over the next decade, AI-accelerated drug design could follow suit. Huang envisions a future where experiments are run on computers, a concept referred to as “in silico.”

NVIDIA is actively collaborating with domain experts and investing in techbio companies to propel the field of computer-aided drug discovery forward. The company is building state-of-the-art AI models and powerful computing platforms, and Huang invited healthcare innovators to join forces with NVIDIA to advance the field. He firmly believes that this approach will shape the future of drug discovery and design.

In addition to drug development, Huang emphasized that the transformation to a software-defined, AI-driven industry will have a profound impact on medical instruments. He predicted that medical devices like ultrasound systems and CT scan systems will be enhanced with AI capabilities, creating new opportunities and value.

As AI continues to advance, these computing tools are becoming more accessible to a wider range of users. Huang noted that thanks to artificial intelligence and the work of the industry, the technology divide is closing rapidly. He declared that “everybody is a programmer,” emphasizing that the programming language of the future is simply called “human.”

NVIDIA’s commitment to accelerated healthcare extends beyond drug discovery. The company’s pipelines include algorithms for cryo-electron microscopy, X-ray crystallography, gene sequencing, amino acid structure prediction, and virtual drug molecule screening. With the convergence of AI and healthcare, the possibilities for innovation are immense.

To learn more about NVIDIA’s presence at the J.P. Morgan Healthcare Conference, interested parties can listen to the audio recording and view the presentation deck from Kimberly Powell’s session.

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Background Information

About nVidia:

NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

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Technology Explained

GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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SAN: A Storage Area Network (SAN) is a high-speed and specialized network architecture designed to facilitate the connection of storage devices, such as disk arrays and tape libraries, to servers. Unlike traditional network-attached storage (NAS), which is file-based, SAN operates at the block level, enabling direct access to storage resources. SANs are known for their performance, scalability, and flexibility, making them ideal for data-intensive applications, large enterprises, and environments requiring high availability. SANs typically employ Fibre Channel or iSCSI protocols to establish dedicated and fast communication paths between servers and storage devices. With features like centralized management, efficient data replication, and snapshot capabilities, SANs offer advanced data storage, protection, and management options. Overall, SAN technology has revolutionized data storage and management, enabling organizations to efficiently handle complex storage requirements and ensure reliable data access.