NVIDIA announced its cooperation with Microsoft’s Azure Machine Learning during the Microsoft Build conference to incorporate NVIDIA AI Enterprise software. By delivering a safe and enterprise-ready platform, our collaboration intends to assist organizations speed their AI ambitions.
Customers will have access to NVIDIA AI Enterprise’s wide suite of tools and frameworks, including over 100 AI frameworks and tools fully supported by NVIDIA AI Enterprise, by utilizing Azure Machine Learning. Businesses will be able to swiftly design, deploy, and manage customized AI applications thanks to this connection.
One of the primary advantages of this partnership is the availability of high-performance NVIDIA accelerated computing resources for AI model training and inference. Users of Azure Machine Learning can use these resources to accelerate their AI development.
The connection also guarantees that Azure Machine Learning users retain the greatest degree of speed and security. Organizations may have access to secure, production-ready AI capabilities and professional support by implementing NVIDIA AI Enterprise software.
NVIDIA AI Enterprise has several components, including NVIDIA RAPIDS for speeding data science workloads, NVIDIA Metropolis for developing vision AI models, and NVIDIA Triton Inference Server for standardized model deployment and execution.
A restricted technical preview of the NVIDIA AI Enterprise integration with Azure Machine Learning is currently available. Furthermore, organizations may have access to NVIDIA AI Enterprise via the Azure Marketplace, broadening their options for safe and supported AI development and implementation.
In addition to the connection with Azure Machine Learning, NVIDIA Omniverse Cloud, a platform-as-a-service solution, is now available as a private offer for corporations on Microsoft Azure. Omniverse Cloud is a full cloud platform for planning, developing, deploying, and administering large-scale industrial metaverse applications.