At its GTC Developers Conference, NVIDIA has introduced Clara Holoscan MG, a platform for the medical device industry to develop and deploy real-time AI applications at the edge, specifically designed to meet required regulatory standards.
Clara Holoscan MGX expands the Clara Holoscan platform to provide an all-in-one, medical-grade reference architecture, as well as long-term software support, to accelerate innovation in the medical device industry. It brings a new level of sensor innovation to edge computing by processing high-throughput data streams for real-time insights. From robotic surgery to studying new approaches to biology, surgeons and scientists need medical devices to evolve into continuous sensing systems to research and treat disease.
“Deploying real-time AI in healthcare and life sciences is critical to enable the next frontiers in surgery, diagnostics and drug discovery,” said Kimberly Powell, vice president of healthcare at NVIDIA. “Clara Holoscan MGX, with its unique combination of AI, accelerated computing and advanced visualization, accelerates the productization of AI and provides software-as-a-service business models for the medical device industry.”
As part of Clara Holoscan MGX, NVIDIA provides hardware reference design with long-life NVIDIA components and 10-year long-term software support, including IEC62304 documentation for software and IEC60601 attestation reports from embedded computing partners.
ADLINK, Advantech, Dedicated Computing, Kontron, Leadtek, MBX Systems, Onyx Healthcare, Portwell, Prodrive Technologies, RYOYO Electro and Yuan High-Tech will be the first embedded-computing manufacturers to build products based on the Clara Holoscan MGX reference design to serve the needs of the global medical device industry.
Some of the largest medical devices makers and dozens of robotic surgery and medical imaging startups are already developing on the Clara Holoscan platform.
Product Specifications
Clara Holoscan MGX brings together the high-performance NVIDIA Jetson AGX Orin Industrial module, NVIDIA RTX A6000 GPU and NVIDIA ConnectX-7 SmartNIC network adapter into a scalable AI platform providing up to 254-619 trillion operations per second of AI performance.
For high-throughput instruments, ConnectX-7 provides up to 200 GbE bandwidth and a GPUDirect RDMA path to GPU processing, which helps enable faster processing. It also integrates the latest in embedded security with a safety and security module, consisting of controllers to monitor critical operations, provide remote software updates and system recovery, and hardware root of trust to provide state-of-the-art embedded security.
Medical device makers can directly embed Clara Holoscan MGX or connect to the existing install base of medical devices, which allows developers to accelerate AI deployment and regulatory clearance.
The Clara Holoscan SDK is specifically designed for high-performance streaming applications to build the next generation of software-defined instruments. It brings together pretrained models, as well as a framework for scalable microservices, to allow applications to be managed and deployed both on device and on the edge data center, ushering in the software-as-a-service business model for the industry.
Clara Holoscan extends from medical devices to NVIDIA edge servers to NVIDIA DGX systems in the cloud or the data center.
