NVIDIA AI Enterprise, available in the Microsoft Azure Marketplace, this week expanded support for secure development and deployment of artificial intelligence with new Azure Machine Learning integrations that can enhance the delivery of enterprise-ready generative AI for healthcare and other clients. announced. .
why it matters
NVIDIA AI Enterprise on Azure ML gives developers access to the company’s highest performing computing resources for inference, and uses trained models to infer results from live data.
According to the company, pre-trained models and development tools include NVIDIA Rapids to accelerate data science workloads and NVIDIA Metropolis to support AI model development.
NVIDIA’s vice president of enterprise computing, Manubirdas, said in the announcement that enterprises are looking for secure and accelerated development tools following a “wave” of generative AI applications.
Azure Machine Learning delivers performance and security, and “gives enterprises and developers easy access to everything they need to train and deploy custom, secure, large-scale language models,” says Microsoft’s AI platform. added John Montgomery, corporate vice president of charge.
In March, partners also announced the availability of NVIDIA Omniverse Cloud, a full-stack cloud environment for developing, deploying and managing industrial metaverse applications at scale, on Microsoft Azure.
NVIDIA CEO Jensen Huang said in a statement that building the NVIDIA Omniverse in Azure could “supercharge” digitization through combined capabilities.
NVIDIA’s production-ready AI capabilities on Azure include access to the company’s experts and support.
Azure ML integration is provided through a limited technical preview.
the bigger trend
The healthcare industry is expanding its adoption of AI to reduce costs, increase security, and improve patient care.
NVIDIA is in a variety of AI-driven partnerships that provide platforms that can transform healthcare technology, from creating a metaverse environment that facilitates testing and collaboration, such as robotic surgery, to developing AI applications that analyze medical imaging and healthcare. Partners with Microsoft and several others. data.
Through a medical device partnership with Medtronic, NVIDIA’s real-time computing software and AI hardware platform for building medical devices powers the company’s intelligent endoscope module. The companies say AI-enhanced diagnostic imaging will improve colonoscopies and patient outcomes, helping doctors detect polyps that can lead to colorectal cancer. According to previous announcements, the integration module will be available later this year.
“Artificial intelligence is a powerful tool that will improve the speed, efficiency and effectiveness of the world’s healthcare systems,” said Kimberly Powell, NVIDIA’s vice president of healthcare, in March.
“We are collaborating with Medtronic to accelerate AI innovation by enabling a software-defined business model with the goal of improving clinical decision-making, reducing healthcare variability and improving patient outcomes. I let you,” she said.
on record
“The combination of NVIDIA AI Enterprise software and Azure Machine Learning will enable enterprises to accelerate their AI initiatives with a straight and efficient path from development to production,” Das said in a statement. says.
Andrea Fox is senior editor for Healthcare IT News.
Email: afox@himss.org
Healthcare IT News is a HIMSS Media publication.
