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JAKARTA - NVIDIA and Microsoft have announced cooperation to integrate Artificial Intelligence (AI)-based software into Azure Machine Learning. This is to help companies accelerate their AI initiatives.

With this integration of NVIDIA AI Enterprise, both will create a safe and ready platform for Azure customers around the world.

The platform can be used to build, implement, and manage customized applications, using more than 100 frameworks and fully supported NVIDIA AI tools on NVIDIA AI Enterprise, the NVIDIA platform's AI software layer.

Like NVIDIA RAPIDS, to accelerate the workload of data science, NVIDIA Metropolis accelerated the development of the vision AI model, and NVIDIA Triton Inference Server supported the company in standardizing model implementation and execution.

"With a wave of upcoming generative AI applications, companies are looking for safe accelerated tools and services that encourage innovation," said the vice president of company computing at NVIDIA, Manuvir Das in a statement quoted Wednesday, May 24.

NVIDIA AI Enterprise's software combination and Azure Machine Learning will help companies accelerate their AI initiatives on a straight and efficient path from development to production, he added.

NVIDIA AI Enterprise at Azure Machine Learning will also provide access to NVIDIA's highest-performance computational resources to accelerate AI model training and inference.

Our integration allows companies and developers to easily access everything they need to train and implement a customized and secure big language model, said the vice president of corporate AI platform in Microsoft, John Montgomery.

Meanwhile, with Azure Machine Learning, developers can easily scale apps, from testing to massive deployments, while using Azure Machine Learning data encryption, access control, and compliance certification to meet the security and policy requirements of their organization.

Currently, the integration of NVIDIA AI Enterprise with Azure Machine Learning is available in limited technical previews in the NVIDIA community registries and Azure Marketplace.


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