Developers can build, deploy, and manage AI applications for large language models using an end-to-end cloud platform made available by NVIDIA AI enterprise integration with Azure machine learning.
In order to help businesses speed their AI ambitions, NVIDIA today announced that it is integrating its NVIDIA AI Enterprise software into Microsoft’s Azure Machine Learning.
With the help of the more than 100 NVIDIA AI frameworks and tools that are fully supported by NVIDIA AI Enterprise, the software layer of NVIDIA’s AI platform, Azure customers from all over the world will be able to quickly build, deploy, and manage custom applications.
“With the coming wave of generative AI applications, enterprises are seeking secure accelerated tools and services that drive innovation”, “The combination of NVIDIA AI Enterprise software and Azure Machine Learning will help enterprises speed up their AI initiatives with a straight, efficient path from development to production.”
Manuvir Das, vice president of enterprise computing, NVIDIA
To hasten the training and inference of AI models, NVIDIA AI Enterprise on Azure Machine Learning will now grant access to the highest-performance NVIDIA accelerated computing resources.
“Microsoft Azure Machine Learning users come to the platform expecting the highest performing, most secure development platform available”, “Our integration with NVIDIA AI Enterprise software allows us to meet that expectation, enabling enterprises and developers to easily access everything they need to train and deploy custom, secure large language models.”
John Montgomery, corporate vice president of AI platform, Microsoft
Developers can rapidly scale applications with Azure Machine Learning, from small tests to large deployments, while leveraging data encryption, access control, and compliance certifications to fulfil organisational policies’ needs for security and compliance. Azure Machine Learning is enhanced with NVIDIA AI Enterprise’s safe, production-ready AI capabilities and access to NVIDIA support staff.
Over a hundred frameworks, pretrained models, and development tools, including NVIDIA RAPIDSTM for speeding up data science workloads, are included in NVIDIA AI Enterprise. The construction of visual AI models is accelerated by NVIDIA Metropolis, and organisations may standardise model deployment and execution with the help of NVIDIA Triton Inference ServerTM.