Microsoft and NVIDIA have launched joint resources to help developers and organizations better benefit from working together.
We’re seeing an explosion of interest in generative AI across many industries, which is a direct result of the collaboration between Microsoft and NVIDIA and the breakthrough technology behind OpenAI’s ChatGPT. As a result, artificial intelligence (AI) is transforming how we interact with digital products and services, from chatbots and voice assistants to smart cameras and recommendation systems. Harnessing the power of AI to create applications that can understand, interact, and learn from their users and their environments is now an almost daily requirement.
However, building these AI applications comes with significant challenges in terms of time, resources, access to AI infrastructure, and cost that can be too overwhelming for many developers and organizations.
To mitigate these challenges, developers can take advantage of the combined benefits of Azure AI, a set of cloud-based AI and machine learning services that make it easy to build, train and deploy AI-enabled applications, and the NVIDIA AI platform, which maximizes application performance at every stage of development and deployment. To further ease access and entry to building the best AI-enabled applications, Microsoft and NVIDIA have launched joint resources where developers and organizations can work together to experience even greater benefits.
Azure AI
Leading the market with multimodal and generative AI
In this blog, we discuss how the combined power of both Azure AI and the NVIDIA AI platform can enable the flexibility, productivity, efficiency, and innovation to create the most impactful AI-enabled applications.
Better Together: Microsoft and NVIDIA
Recognizing the barriers developers face, NVIDIA and Microsoft have worked closely to democratize access to and accelerate adoption of the same core technology that underpins ChatGPT. The partnership is focused on optimizing every layer of the generative AI stack, from high-performance, scalable AI infrastructure to developer tools and services, reducing complexity and cost, making advanced AI capabilities more accessible and feasible across a wide range of applications and industries.
Used by over 60,000 organizations, Azure AI is integrated with popular development environments, Visual Studio Code and GitHub, so you can develop, test and deploy AI solutions using the tools and workflows you prefer. Whether you 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, automated document processing and more.
Azure’s cutting-edge cloud AI supercomputing infrastructure leverages both cutting-edge NVIDIA GPUs and NVIDIA InfiniBand networking to deliver the highest performance, scalability, and built-in security needed to confidently build, train, and deploy the most demanding AI workloads at any scale. This combination accelerates time to solution, reduces deployment costs by supporting more users with fewer compute resources, and improves user experience with optimized performance and faster data throughput.
GitHub and Visual Studio Code benefits for developers
Whether you’re a developer using Visual Studio Code or GitHub, Azure AI integrates with your existing development environment so you can use the same tools and workflows you’re already familiar with.
Some of the benefits that GitHub and Visual Studio Code developers can gain from using these AI tools and services include:
Flexibility and choice: Choose the AI solution that works best for you, whether you want to use pre-built models and APIs or build and train your own custom models. Choose your preferred framework and language, including LangChain, Semantic Kernel, TensorFlow, PyTorch, Scikit-learn, Python, and R. You can also access the latest GPT models from OpenAI with Azure OpenAI services. Plus, the new Prompty format lets you work with prompts in your preferred environment (such as Visual Studio Code or GitHub) while using a platform you trust. Productivity and efficiency: Simplify and accelerate your AI development process with the Visual Studio Code extension and GitHub Actions. For example, use Prompt Flow to manage different versions of flow assets such as prompts, code, configurations, and environments via a code repository, promoting the collaborative LLMOps spirit with change tracking and rollback to previous versions. For machine learning workloads, use GitHub Actions for Azure Machine Learning to automate model training, testing, and deployment. Performance and Scalability: Streamline your workflows and deploy powerful AI capabilities with NVIDIA-optimized software from NVIDIA AI Enterprise, available in the Azure Marketplace. Support for remote development with the Visual Studio Code extension allows you to create, 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 users and their environments to deliver personalized and engaging experiences. Use Azure AI to build a comprehensive generative AI stack to power your applications with search augmentation generation, natural language processing, machine learning, and more.
Start building the most innovative applications
Microsoft and NVIDIA’s strategic partnership significantly strengthens the Azure AI ecosystem. The integration of the NVIDIA AI Enterprise software platform with Azure’s 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 integration, and APIs within the Azure AI environment.
By building AI-enabled applications within the Microsoft ecosystem, developers benefit from the increased productivity and efficiency that comes from using a single, integrated set of tools and services, reducing development time and support costs, and enhancing collaboration and communication among team members. They also benefit from the innovation and creativity enabled by Azure AI, allowing them to create applications that understand, interact, and learn from their users and their environments to deliver personalized and engaging experiences.
Learn more about how Microsoft and NVIDIA are joining forces to streamline development and build AI-enabled applications faster and easier.
