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NVIDIA announces new enterprise software support for healthcare & industrial edge ai applications

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Jensen Huang Founder, President and CEO at NVIDIA | Official website

NVIDIA has announced the general software availability of NVIDIA AI Enterprise-IGX with NVIDIA Holoscan on the NVIDIA IGX™ platform, aimed at addressing the increasing need for real-time AI computing at the industrial edge. This combination empowers solution providers in medical, industrial, and scientific computing sectors to develop and deploy edge AI solutions more efficiently with enterprise-grade software and support.

NVIDIA AI Enterprise-IGX offers enterprises unprecedented performance, security, and support for edge computing software stacks, streamlining AI-powered operations and large-scale deployment of AI applications. NVIDIA Holoscan is a sensor-processing platform designed to streamline the development and deployment of AI and high-performance computing applications to deliver real-time insights.

“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, vice president of robotics and edge computing at NVIDIA. “The NVIDIA IGX platform’s new capabilities deliver powerful enterprise-grade software from the cloud to the industrial edge, giving customers increased performance, safety, and scalability.”

In addition to introducing NVIDIA AI Enterprise-IGX with Holoscan, the NVIDIA IGX platform has undergone significant updates. The newly named NVIDIA IGX Orin™ 700 now supports the NVIDIA RTX™ 6000 Ada GPU as a configuration option, delivering up to 1,705 trillion operations per second—a sevenfold increase in AI performance compared with using an onboard iGPU. Additionally, a new product called IGX Orin 500 system-on-module enables flexible carrier-board designs without sacrificing enterprise software support.

The expansion of the NVIDIA-Certified Systems™ program now includes the IGX platform. Companies such as Advantech, ADLINK, Aetina, Ahead, Cosmo Intelligent Medical Devices (a division of Cosmo Pharmaceuticals), Dedicated Computing, Leadtek, Onyx, and YUAN are building systems validated to run accelerated AI workloads with optimized performance.

Leading medical technology companies like Barco, Karl Storz, Medtronic and Moon Surgical are adopting NVIDIA IGX with Holoscan to accelerate development in various areas including medical diagnostics and surgical robots. Johnson & Johnson MedTech is exploring how this technology could advance its digital ecosystem for surgery.

Medtronic is leveraging this platform for its GI Genius™ intelligent endoscopy module—the first FDA-cleared AI-assisted colonoscopy tool designed by Cosmo Intelligent Medical Devices. Raj Thomas from Medtronic stated: “The NVIDIA IGX with Holoscan platform has significantly accelerated our AI innovation in endoscopy... This collaboration underscores our commitment to pioneering advancements in medical technology for the benefit of all.”

Moon Surgical uses IGX with Holoscan for its Maestro System—an advanced surgical robotics system assisting surgeons during minimally invasive procedures. Anne Osdoit from Moon Surgical commented: “Our collaboration with NVIDIA has allowed us to get our intelligent robotic assistant into the hands of surgeons sooner...”

In industrial applications at the edge such as factory automation and robotic collaboration powered by ADLINK’s use of Nvidia's technologies ensures improved functional safety and high-bandwidth sensor processing.

ADLINK President Stephen Huang noted: “ADLINK leverages NVIDIA IGX and Holoscan to deliver proactive safety capabilities that ensure more efficient human-robot collaboration...”

Furthermore NASA's SETI Institute employs Nvidia's platforms transforming radar processing & radio astronomy via real-time edge computing aiming detection technological extraterrestrial life using Hat Creek Radio Observatory according Andrew Siemion Chair SETI Institute emphasized "We can now stream multiple terabits per second radio telescope data directly into classifiers minimal overhead exceptional computational performance..."

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