Microsoft and NVIDIA have launched a collaborative resource for developers and organizations to experience greater benefits together.
There has been an explosion of interest in generative AI across many industries, a direct result of the Microsoft and NVIDIA collaboration and the innovative technology behind it. OpenAI’s ChatGPTAs a result, artificial intelligence (AI) is transforming the way we interact with digital products and services, from chatbots and voice assistants to smart cameras and recommendation systems. Today, harnessing the power of AI to create applications that can understand, interact with, and learn from their users and environments is an almost daily demand.
However, developing these AI applications presents significant challenges in terms of time, resources, access to AI infrastructure, and costs, which can be prohibitive for many developers and organizations.
To alleviate these challenges, developers can benefit from the combined benefits of Azure AI—a suite of cloud-based AI and machine learning services that can help you build, train, and deploy AI-enabled applications with ease—and the NVIDIA AI platform to maximize application performance at all stages of development and deployment. To further ease access and entry to building the best AI-enabled applications, Microsoft and NVIDIA have launched a collaborative resource so that developers and organizations experience greater benefits together.
In this blog, we will discuss how combining the power of Azure AI and NVIDIA AI Platform can help you build your most impactful AI-enabled applications, giving you flexibility, productivity, efficiency, and innovation.
Better together: Microsoft and NVIDIA
Recognizing the barriers faced by developers, NVIDIA and Microsoft have worked closely to democratize access to the same core technology that powers ChatGPT to accelerate adoption. The partnership focuses on optimizing every layer of the generative AI stack—from high-performance, scalable AI infrastructure to easy-to-use developer tools and services—to reduce complexity and costs, making advanced AI capabilities more accessible and feasible for a broader range of applications and industries.
Used by over 60,000 organizations, Azure AI integrates with popular development environments like Visual Studio Code and GitHub, allowing you to use your preferred tools and workflows to develop, test, and deploy your AI solutions. Whether you want to use pre-built models and APIs or build and train your own custom models, Azure AI can support a variety of AI scenarios, including building your own copilot with enterprise chat, speech analytics, document processing automation, and more.
Azure’s leading cloud AI supercomputing infrastructure, leveraging next-generation NVIDIA GPUs and NVIDIA InfiniBand networking, provides the best performance, scalability, and built-in security needed to build, train, and deploy the most demanding AI workloads with confidence, at any scale. This combination accelerates time to solution, reduces deployment costs by supporting more users with fewer compute resources, and improves user experience through optimized performance and faster data processing.
Benefits for developers on GitHub and Visual Studio Code
Whether you’re a developer using Visual Studio Code or GitHub, Azure AI integrates with your existing development environment, allowing you to use the same tools and workflows you’re already familiar with.
Some of the benefits of using these AI tools and services for developers on GitHub and Visual Studio Code include:
- Flexibility and choice: Choose the AI ​​solution that works best for you, whether using pre-built models and APIs or creating and training your own custom models. Choose the framework and language you prefer, such as LangChain, Semantic Kernel, TensorFlow, PyTorch, Scikit-learn, Python, or R. You can even use the Azure OpenAI service to access OpenAI’s latest GPT models. Plus, people can use the new Prompty format to work with prompts in their preferred environments (such as Visual Studio Code and GitHub) while using the trusted platform.
- Productivity and efficiency: Simplify and accelerate your AI development process using Visual Studio Code extensions and GitHub Actions. For example, use the prompt flow to manage multiple versions of your flow assets—such as prompts, code, configurations, and environments—through a code repository, with tracked changes and rollbacks to previous versions, promoting a collaborative LLMOps spirit. For machine learning workloads, use GitHub Actions for Azure Machine Learning to automate model training, testing, and deployment.
- Performance and scalability: Take advantage of NVIDIA optimized software NVIDIA AI Enterprise, available in the Azure marketplace, to streamline workflows and embrace powerful AI capabilities. With Support for remote development With Visual Studio Code extensions, you can write, debug, and optimize GPU-accelerated applications (including AI models) while using Azure virtual machines powered by NVIDIA GPUs.
- Innovation and creativity: Build applications that understand, interact with, and learn from your users and environments, and deliver personalized, engaging experiences. Use Azure AI to build an end-to-end generative AI stack and enrich your applications with retrieval-augmented generation, natural language processing, machine learning, and more.
Start building your most innovative applications
The strategic alliance between Microsoft and NVIDIA has significantly enhanced the Azure AI ecosystem. The integration of the NVIDIA AI Enterprise software platform combined with Azure AI toolsets and libraries ensures a robust and efficient environment to advance your AI projects. Accelerate time to deployment with optimized NVIDIA Nemotron models, NVIDIA NIM inference microservices, Langchain and Hugging Face integrations, and APIs within your Azure AI environment.
By building AI-enabled applications within the Microsoft ecosystem, developers can benefit from the productivity and efficiency gains that come from using a single, integrated set of tools and services. This can help reduce development time and support costs, and improve collaboration and communication between team members. You can also benefit from the innovation and creativity enabled by Azure AI, allowing you to build applications that understand, interact with, and learn from users and environments, and deliver personalized, engaging experiences.
More information on how you can streamline development and build AI-enabled applications faster and easier with the combined power of Microsoft and NVIDIA.
