Nvidia Boosts AI Health Care Tech With Advanced Edge Data Processing

Nvidia integrates Holoscan tech into AI Enterprise-IGX for processing camera and sensor data

Ben Wodecki, Jr. Editor

June 10, 2024

3 Min Read
A health care professional looks at MRI brain scans
Getty Images

Nvidia has upgraded its AI Enterprise-IGX platform, offering new support for processing AI edge workloads in industrial and health care applications.

Announced at Computex 2024, AI Enterprise-IGX now features Holoscan, a tool for processing AI and sensor data at the edge.

The newly embedded tool can process integrated camera and sensor data for use cases including factory automation or anomaly detection in medical scans.

In addition to the Holoscan integration, Nvidia has added a new GPU configuration option that provides users with seven-fold AI performance improvements when processing workloads at the edge.

The IGX platform now also supports Orin 500, which lets industrial developers build custom configurations while retaining software support.

Nvidia says its upgraded AI Enterprise-IGX enables businesses to cut time and costs when developing AI edge solutions.

“As software-defined functionality continues to transform businesses across industries, enterprises are seeking powerful edge AI solutions that can meet their unique performance and regulatory requirements,” said Deepu Talla, Nvidia’s vice president of robotics and edge computing. “The IGX platform’s new capabilities deliver powerful enterprise-grade software from the cloud to the industrial edge, giving customers increased performance, safety and scalability.”

Related:Nvidia Hits $3 Trillion Market Cap, Overtakes Apple as 2nd Most Valuable Company

Early adopters of the upgraded IGX platform include medical device manufacturers Barco and Medtronic who are using it to help design and test medical diagnostic equipment, including AI-assisted colonoscopy tools.

“The IGX with Holoscan platform has significantly accelerated our AI innovation in endoscopy,” said Raj Thomas, Medtronic’s president of endoscopy. “By leveraging Nvidia’s advanced technology, we can focus on developing groundbreaking software applications that ultimately enhance patient outcomes and provide greater support to physicians. This collaboration underscores our commitment to pioneering advancements in medical technology for the benefit of all.”

Johnson & Johnson’s medical technology business is also using Nvidia’s Holoscan solution to develop digital surgery solutions. 

The startup Moon Surgical, meanwhile, is using the Nvidia platform to train and power its surgical robots.

Industrial users of the new Nvidia offering include ADLINK, an edge hardware manufacturer that has employed the IGX tool to create edge solutions for its manufacturing processes.

“ADLINK leverages IGX and Holoscan to deliver proactive safety capabilities that ensure more efficient, seamless human and robot collaboration,” said Stephen Huang, ADLINK’s chief operating officer. “Working with Nvidia, we continue to drive precision, safety and latency improvements to optimize manufacturing operations like machine movement routing, robotic arm operation and charging-station monitoring all at once.”

Related:Nvidia CEO: Generative AI, Accelerated Computing to Redefine the Future

Nvidia has also provided IGX access to the SETI Institute, a nonprofit scanning the cosmos for signs of extraterrestrials.

IGX Orin is powering radio astronomy capabilities at SETI’s Radio Observatory in Hat Creek, California.

“We can now stream multiple terabits per second of radio telescope data directly into AI classifiers with minimal overhead and exceptional computational performance, allowing us to process more bandwidth from more antennas to detect weaker and rarer astrophysical phenomena,” said SETI’s Andrew Siemion.

About the Author(s)

Ben Wodecki

Jr. Editor

Ben Wodecki is the Jr. Editor of AI Business, covering a wide range of AI content. Ben joined the team in March 2021 as assistant editor and was promoted to Jr. Editor. He has written for The New Statesman, Intellectual Property Magazine, and The Telegraph India, among others. He holds an MSc in Digital Journalism from Middlesex University.

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