SHARE
Facebook X Pinterest WhatsApp

NVIDIA Launches Medical AI Computing Platform

thumbnail
NVIDIA Launches Medical AI Computing Platform

Medical research and chemistry science

The solution is an AI computing platform for medical devices that combines hardware systems and optimized libraries for data processing and AI.

Jun 7, 2022

NVIDIA recently extended its support for AI applied to medical problems by enhancing NVIDIA Clara, its healthcare application framework for AI-powered imaging, genomics, and the development and deployment of smart sensors.

Download Now: Building Real-time Location Applications on Massive Datasets

It now offers the NVIDIA Clara Holoscan MGX platform, which expands NVIDIA’s current medical device ecosystem to provide medical-grade reference architecture and long-term support. The extension is expected to help drive medical innovation in the coming years. The solution is an AI computing platform for medical devices that combines hardware systems for low-latency sensor and network connectivity, optimized libraries for data processing and AI, and core microservices to run streaming, imaging, and other applications, from embedded to edge to cloud.

See also: FDA Clears Aneurysm Detecting Artificial Intelligence Tool

Designed for medical regulatory compliance

Delivering real-time AI comes with increased scrutiny over faster, wider data sharing. NVIDIA’s platform brings together pre-trained models and a scalable microservices framework within the same platform, which would allow researchers and health providers to productize AI-driven healthcare solutions.

It enables faster processing with embedded security features designed specifically for sensitive healthcare datasets. These controllers monitor operations and provide remote software updates or system recovery.

The expanded platform will enable innovation in healthcare through accelerated computing, but also with advanced visualizations so critical in fields like drug discovery and surgery. It makes it easier for companies to productize AI-enabled solutions, particularly in a medical device setting where scale is not just critical to business but to patient outcomes.

Users also receive 10-year long-term software support, along with hardware reference design. And thanks to improved sensors, users can leverage real-time insight to provide assistance even in high-touch applications such as robotic surgery.

The first users to build on the new platform include Advantech, RYOYO Electro, and Onyx Healthcare, among several others. It includes NVIDIA Jetson AGX Orin Industrial module, NVIDIA RTX A6000 GPU, and NVIDIA ConnectX-7 SmartNIC network adapter. There is also a high GPU processing path to support high throughput instruments. Researchers and developers have the option to embed Clara Holoscan MGX directly into the device or connect to an existing install of medical devices for greater flexibility in deployment paths.

Download Now: Building Real-time Location Applications on Massive Datasets
thumbnail
Elizabeth Wallace

Elizabeth Wallace is a Nashville-based freelance writer with a soft spot for data science and AI and a background in linguistics. She spent 13 years teaching language in higher ed and now helps startups and other organizations explain - clearly - what it is they do.

Recommended for you...

The Rise of Autonomous BI: How AI Agents Are Transforming Data Discovery and Analysis
Beyond Procurement: Optimizing Productivity, Consumer Experience with a Holistic Tech Management Strategy
Rishi Kohli
Jan 3, 2026
Smart Governance in the Age of Self-Service BI: Striking the Right Balance
Why the Next Evolution in the C-Suite Is a Chief Data, Analytics, and AI Officer

Featured Resources from Cloud Data Insights

The Difficult Reality of Implementing Zero Trust Networking
Misbah Rehman
Jan 6, 2026
Cloud Evolution 2026: Strategic Imperatives for Chief Data Officers
Why Network Services Need Automation
The Shared Responsibility Model and Its Impact on Your Security Posture
RT Insights Logo

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Property of TechnologyAdvice. © 2026 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.