NVidia Launches AI Computing Platform for Medical Devices

<p>At its GTC Developers Conference&comma; NVIDIA has introduced <a title&equals;"" href&equals;"http&colon;&sol;&sol;www&period;nvidia&period;com&sol;en-us&sol;clara&sol;medical-grade-devices" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>Clara Holoscan MG<&sol;u><&sol;a>&comma; a platform for the medical device industry to develop and deploy real-time AI applications at the edge&comma; specifically designed to meet required regulatory standards&period;<&sol;p>&NewLine;<p>Clara Holoscan MGX expands the <a title&equals;"" href&equals;"https&colon;&sol;&sol;www&period;nvidia&period;com&sol;en-us&sol;clara&sol;medical-devices&sol;" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>Clara Holoscan platform<&sol;u><&sol;a> to provide an all-in-one&comma; medical-grade reference architecture&comma; as well as long-term software support&comma; to accelerate innovation in the medical device industry&period; It brings a new level of sensor innovation to edge computing by processing high-throughput data streams for real-time insights&period; From robotic surgery to studying new approaches to biology&comma; surgeons and scientists need medical devices to evolve into continuous sensing systems to research and treat disease&period;<&sol;p>&NewLine;<p>&OpenCurlyDoubleQuote;Deploying real-time AI in healthcare and life sciences is critical to enable the next frontiers in surgery&comma; diagnostics and drug discovery&comma;” said Kimberly Powell&comma; vice president of healthcare at NVIDIA&period; &OpenCurlyDoubleQuote;Clara Holoscan MGX&comma; with its unique combination of AI&comma; accelerated computing and advanced visualization&comma; accelerates the productization of AI and provides software-as-a-service business models for the medical device industry&period;”<&sol;p>&NewLine;<p>As part of Clara Holoscan MGX&comma; NVIDIA provides hardware reference design with long-life NVIDIA components and 10-year long-term software support&comma; including IEC62304 documentation for software and IEC60601 attestation reports from embedded computing partners&period;<&sol;p>&NewLine;<p><a title&equals;"ADLINK" href&equals;"https&colon;&sol;&sol;blog&period;adlinktech&period;com&sol;2022&sol;03&sol;23&sol;medical-devices-on-nvidia-clara-holoscan-mgx&sol;" target&equals;"&lowbar;blank" rel&equals;"noopener">ADLINK<&sol;a>&comma; <a href&equals;"https&colon;&sol;&sol;www&period;advantech&period;com&sol;resources&sol;news&sol;advantech-brings-medical-grade-platform-to-software-defined-medical-devices" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>Advantech<&sol;u><&sol;a>&comma; <a title&equals;"" href&equals;"https&colon;&sol;&sol;blog&period;dedicatedcomputing&period;com&sol;announcing-m1000-high-performance-ai" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>Dedicated Computing<&sol;u><&sol;a>&comma; <a title&equals;"" href&equals;"http&colon;&sol;&sol;www&period;kontron&period;com&sol;en&sol;blog&sol;embedded&sol;kontron-nvidia-clara-holoscan-mgx-platform" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>Kontron<&sol;u><&sol;a>&comma; <a title&equals;"" href&equals;"https&colon;&sol;&sol;www&period;leadtek&period;com&sol;eng&sol;news&sol;product&lowbar;news&lowbar;detail&sol;1664" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>Leadtek<&sol;u><&sol;a>&comma; <a title&equals;"" href&equals;"https&colon;&sol;&sol;resources&period;mbx&period;com&sol;blogs&sol;mbx-announces-support-for-nvidia-clara-holoscan-mgx-platform" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>MBX Systems<&sol;u><&sol;a>&comma; <a title&equals;"" href&equals;"https&colon;&sol;&sol;www&period;onyx-healthcare&period;com&sol;newsdetail&lowbar;en&period;php&quest;id&equals;30084" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>Onyx Healthcare<&sol;u><&sol;a>&comma; <a href&equals;"https&colon;&sol;&sol;portwell&period;com&sol;productnews&sol;nvidia-clara-mgx&period;php" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>Portwell<&sol;u><&sol;a>&comma; <a href&equals;"https&colon;&sol;&sol;prodrive-technologies&period;com&sol;news&sol;prodrive-technologies-collaborates-with-nvidia-to-bring-medical-grade-ai-platform-clara-holoscan-mgx-to-medical-devices&sol;" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>Prodrive Technologies<&sol;u><&sol;a>&comma; <a title&equals;"" href&equals;"https&colon;&sol;&sol;www&period;ryoyo&period;co&period;jp&sol;en&sol;" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>RYOYO Electro<&sol;u><&sol;a> and <a title&equals;"" href&equals;"https&colon;&sol;&sol;www&period;yuan&period;com&period;tw&sol;press&sol;en&sol;News&sol;2022&sol;press&lowbar;2022&lowbar;supports-nvidia-ai-medical-device-platform-nvidia-clara-holoscan-mgx&lowbar;news&period;htm" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>Yuan High-Tech<&sol;u><&sol;a> 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&period;<&sol;p>&NewLine;<p>Some of the largest medical devices makers and dozens of robotic surgery and medical imaging startups are already developing on the Clara Holoscan platform&period;<&sol;p>&NewLine;<p><strong>Product Specifications<&sol;strong><br &sol;>&NewLine;Clara Holoscan MGX brings together the high-performance NVIDIA Jetson AGX Orin Industrial module&comma; NVIDIA RTX A6000 GPU and <a title&equals;"" href&equals;"https&colon;&sol;&sol;www&period;nvidia&period;com&sol;en-us&sol;networking&sol;products&sol;data-processing-unit&sol;" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>NVIDIA ConnectX-7 SmartNIC<&sol;u><&sol;a> network adapter into a scalable AI platform providing up to 254-619 trillion operations per second of AI performance&period;<&sol;p>&NewLine;<p>For high-throughput instruments&comma; ConnectX-7 provides up to 200 GbE bandwidth and a <a title&equals;"" href&equals;"https&colon;&sol;&sol;www&period;nvidia&period;com&sol;en-us&sol;networking&sol;products&sol;data-processing-unit&sol;" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>GPUDirect RDMA<&sol;u><&sol;a> path to GPU processing&comma; which helps enable faster processing&period; It also integrates the latest in embedded security with a safety and security module&comma; consisting of controllers to monitor critical operations&comma; provide remote software updates and system recovery&comma; and hardware root of trust to provide state-of-the-art embedded security&period;<&sol;p>&NewLine;<p>Medical device makers can directly embed Clara Holoscan MGX or connect to the existing install base of medical devices&comma; which allows developers to accelerate AI deployment and regulatory clearance&period;<&sol;p>&NewLine;<p>The Clara Holoscan SDK is specifically designed for high-performance streaming applications to build the next generation of software-defined instruments&period; It brings together pretrained models&comma; as well as a framework for scalable microservices&comma; to allow applications to be managed and deployed both on device and on the edge data center&comma; ushering in the software-as-a-service business model for the industry&period;<&sol;p>&NewLine;<p>Clara Holoscan extends from medical devices to NVIDIA edge servers to <a title&equals;"" href&equals;"https&colon;&sol;&sol;www&period;nvidia&period;com&sol;en-us&sol;data-center&sol;dgx-a100&sol;" target&equals;"&lowbar;blank" rel&equals;"nofollow noopener"><u>NVIDIA DGX systems<&sol;u><&sol;a> in the cloud or the data center&period;<&sol;p>&NewLine;

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