NVIDIA Healthcare this week announced the availability of 25 new cloud-agnostic microservices to help healthcare developers leverage generative AI in their applications, anywhere and for a wide range of specific use cases.
WHY IT MATTERS
The new healthcare microservices include optimized AI models and workflows with application programming interfaces, designed to serve as building blocks for creating and deploying cloud-native applications.
With capabilities designed for imaging, natural language and speech recognition, and digital biology generation, prediction, and simulation, NVIDIA says the twenty new microservices can help healthcare organizations capitalize on generative AI.
The goal is to help researchers, app developers and even doctors more easily integrate AI into “new and existing applications and run them anywhere – from the cloud to on-premises,” the company said.
The suite includes NVIDIA NIM, which provides optimized inference for a growing collection of models in imaging, medical technology, drug discovery and digital health, and unlocks new opportunities for healthcare and life sciences innovation around generative biology, chemistry and more.
“By leveraging these advanced tools, we are not only improving our medical imaging and data management capabilities, but also delivering unprecedented acceleration in medical research and patient care outcomes,” said Trent Norris, Chief Product Officer at Flywheel, whose cloud platform is used by academic medical centers and biopharmaceutical companies to manage and train medical imaging data.
“With generative AI, we have the opportunity to address some of the healthcare industry’s most pressing needs. We can help alleviate widespread workforce shortages and increase access to high-quality care – all while improving patient outcomes,” added Munjal Shah, co-founder and CEO of Hippocratic AI, which develops genAI tools powered by its own large language models, for low-latency inference and speech recognition.
THE BIG TREND
NVIDIA says developers can access and experiment with the tools at ai.nvidia.com through service providers including Dell, HP Enterprise, Lenovo and Supermicro, and on public cloud platforms including Amazon Web Services, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure and on NVIDIA DGX Cloud.
The company has been busy in the healthcare space in recent years – partnering with NYU Langone Health to predict readmissions, collaborating with Medtronic on devices and robotic surgery, and enabling real-time data streaming for the National University Health System in Singapore. to name just three.
ON THE RECORD
“For the first time in history, we can represent the world of biology and chemistry in a computer, making computer-aided drug discovery possible,” Kimberly Powell, NVIDIA’s vice president of healthcare, said in a statement. “By helping healthcare companies easily build and manage AI solutions, we enable them to unleash the full power and potential of generative AI.”
Mike Miliard is editor-in-chief of Healthcare IT News
Email the writer: mike.miliard@himssmedia.com
Healthcare IT News is a HIMSS publication.