TL;DR:
- Nvidia and Microsoft partner to accelerate AI efforts for enterprises and individuals.
- Nvidia AI enterprise software is integrated into Azure machine learning (Azure ML), offering an enterprise-ready solution for building and managing AI applications.
- Azure ML users gain access to over 100 AI frameworks, pre-trained models, and development tools through Nvidia AI enterprise.
- Nvidia AI enterprise and Omniverse Cloud will be available in the Microsoft Azure marketplace, expanding accessibility for customers.
- Nvidia’s GPU-accelerated deep learning frameworks will be enabled on Windows 11 through the Windows Subsystem for Linux (WSL), facilitating AI model development on Windows laptops.
- Developers can utilize Nvidia AI enterprise and Azure ML for training and deploying models to Nvidia PCs.
- The collaboration drives AI advancements, empowering enterprises and individuals to leverage advanced AI technologies within their preferred working environments.
Main AI News:
As the demand for generative AI continues to surge, Nvidia is taking significant strides to ensure its cutting-edge technology reaches the preferred working environments of enterprises. In a remarkable move, the computing giant has partnered with Microsoft to seamlessly integrate Nvidia AI enterprise software into Azure machine learning (Azure ML) and introduce deep learning frameworks on Windows 11 PCs.
This groundbreaking collaboration, announced at the ongoing Microsoft Build developer conference, aims to accelerate both enterprise and individual AI endeavors. It follows Nvidia’s recent announcement of “Project Helix” in collaboration with Dell, focusing on bringing generative AI to on-premise deployments.
Integration with Microsoft Azure Machine Learning
Nvidia AI enterprise serves as an end-to-end, secure software platform that expedites the data science pipeline and streamlines the development and deployment of production-ready AI applications. Through this partnership, Nvidia brings this powerful software layer to Azure ML, empowering Azure cloud customers with an enterprise-ready solution for swiftly constructing, deploying, and managing customized AI applications.
As part of this collaboration, Azure ML users gain access to over 100 AI frameworks, pre-trained models, and development tools, including Nvidia Rapids, all bundled with Nvidia AI enterprise. Additionally, users can leverage Nvidia’s accelerated computing resources to enhance the training and inference speed of targeted AI models, including LLMs.
Manuvir Das, Nvidia’s VP of Enterprise Computing, emphasized, “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.”
Availability in the Azure Marketplace
In addition to the integration, which is currently available in preview by invitation only in the Nvidia community registry, Nvidia AI enterprise and Omniverse Cloud will soon be accessible through the Microsoft Azure marketplace. This exciting development enables customers who already have existing relationships with Azure to utilize their current contracts to access Nvidia AI enterprise. It can be employed within Azure ML or separately on instances of their choice. This flexibility empowers organizations to leverage Nvidia’s advanced AI solutions while seamlessly working within their established Azure infrastructure.
Furthermore, Omniverse Cloud, a comprehensive cloud environment for designing, developing, deploying, and managing industrial metaverse applications at scale, will also be available in the Azure marketplace. This integration opens up new possibilities for developers and enterprises seeking a full-stack cloud environment to drive their innovative metaverse projects.
AI Empowerment on Windows 11
Recognizing the importance of empowering developers to build AI models on laptops, Nvidia has made a significant announcement. All of its GPU-accelerated deep learning frameworks will be fully enabled on Windows 11. This achievement will be made possible through the Windows Subsystem for Linux (WSL), which seamlessly combines the strengths of both Windows and Linux environments, allowing AI libraries built for Linux to run effortlessly on Windows laptops.
Nvidia has closely collaborated with Microsoft to deliver GPU acceleration and support for its complete AI software stack within WSL, enabling developers to utilize Windows PCs for all their local AI development needs. While this development facilitates access to leading generative AI models on PCs, Das highlighted that users still have the option to perform large-scale training on Azure. He explained, “Of course, you can use Nvidia AI enterprise and Azure ML to do the training and then push the models down to Nvidia PCs. It’s the same Nvidia stack, so it’ll run there.”
By joining forces, Nvidia and Microsoft are unlocking immense potential in the field of AI, empowering enterprises and individuals alike to harness the full capabilities of advanced AI technologies within their preferred environments. This strategic collaboration ensures that cutting-edge AI solutions are seamlessly integrated into enterprise workflows, driving innovation and transformation across industries.
Conlcusion:
The partnership between Nvidia and Microsoft to accelerate AI efforts has significant implications for the market. By integrating Nvidia AI enterprise software into Azure machine learning, businesses gain access to a comprehensive suite of AI tools, frameworks, and pre-trained models. This collaboration not only empowers enterprises to streamline their AI development and deployment processes but also fosters innovation and drives the adoption of AI technologies across industries.
Additionally, the availability of Nvidia’s GPU-accelerated deep learning frameworks on Windows 11 laptops expands accessibility and enhances AI model development capabilities. Overall, this collaboration signifies a major step forward in advancing AI capabilities for enterprises, unlocking new opportunities, and fueling market growth in the evolving landscape of artificial intelligence.
