Build AI-enabled applications with Azure AI and NVIDIA

Learn how Azure AI, combined with NVIDIA AI, can help you create innovative and intelligent solutions using your preferred tools and workflows.

An explosion of interest in generative AI across many industries has sparked, a direct result of the collaboration of Microsoft and NVIDIA and the breakthrough technology behind OpenAI’s ChatGPT. As 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. It’s now almost a daily demand to leverage the power of AI to create applications that can understand, interact, and learn from their users and environments.

However, building 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 set 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 throughout every stage of development and deployment. To make access and entry even easier to build the best AI-enabled applications, Microsoft and NVIDIA have launched a collaborative resource for developers and organizations to experience the better together benefits.

In this blog, we’ll discuss how combining the power of both Azure AI and the NVIDIA AI Platform can help you create your most impactful AI-enabled applications, providing you with flexibility, productivity, efficiency, and innovation.

Better together: Microsoft and NVIDIA

Recognizing the barriers developers face, 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 highly performant and scalable AI infrastructure to developer-friendly tools and services—to reduce complexity and cost, making advanced AI capabilities more accessible and feasible for a broader range of applications and industries.

Used by more than 60,000 organizations, Azure AI integrates with popular developer environments 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 various 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 both state of the art 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, lowers deployment costs by supporting more users with fewer compute resources, and enhances user experience through optimized performance and faster data throughput.

Benefits for developers in GitHub and Visual Studio Code

Whether a developer that uses Visual Studio Code or GitHub, Azure AI integrates with your existing development environment, allowing you to use the same tools and workflows that you’re already familiar with.

Some of the benefits of using these AI tools and services for developers in GitHub and Visual Studio Code include:

• Flexibility and choice: Choose the AI solution that best suits you, whether using pre-built models and APIs or building and training your own custom models. Choose the framework and language that you prefer, such as LangChain, Semantic Kernel, TensorFlow, PyTorch, Scikit-learn, Python, or R. You can even use the Azure OpenAI Service to access the latest GPT models from OpenAI. Additionally, folks can use the new Prompty format to work with prompts in their preferred environments (like Visual Studio Code and GitHub) all while using the trusted platform.
• Productivity and efficiency: Simplify and accelerate the AI development process by using Visual Studio Code extensions and GitHub Actions. For example, use prompt flow to manage various versions of your flow assets like prompts, code, configurations, and environments via code repo, with tracked changes and rollback to previous versions, promoting a collaborative LLMOps ethos. For machine learning workloads, use GitHub Actions for Azure Machine Learning to automate model training, testing, and deployment.
• Performance and scalability: Harness NVIDIA-optimized software from NVIDIA AI Enterprise, available in the Azure marketplace, to streamline workflows and embrace powerful AI capabilities. With support for remote development using Visual Studio Code extensions, you can write, debug, and optimize GPU-accelerated applications—including AI models—while using NVIDIA GPU-powered Azure Virtual Machines.
• Innovation and creativity: Build applications that understand, interact, and learn from their users and environments, and that deliver personalized and engaging experiences. Use Azure AI to build a comprehensive 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 partnership between Microsoft and NVIDIA has significantly enhanced the Azure AI ecosystem. The integration of the NVIDIA AI Enterprise software platform combined with Azure’s AI toolsets and libraries ensures a robust and efficient environment for advancing your AI projects. Accelerate your time to deployment with the optimized NVIDIA Nemotron models, NVIDIA NIM inference microservices, Langchain and Hugging Face integrations, and APIs, inside of 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, support costs, and enhance collaboration and communication among team members. You can also benefit from the innovation and creativity that Azure AI enables, allowing you to create applications that understand, interact, and learn from users and environments, and deliver personalized and engaging experiences.

Learn more about how you can streamline development and build AI-enabled applications faster and easier with the combined power of Microsoft and NVIDIA.

The post Build AI-enabled applications with Azure AI and NVIDIA appeared first on Microsoft Azure Blog.