Azure AI infrastructure
World-class infrastructure performance for AI workloads
Deliver high-powered performance to your most compute-intensive AI workloads, including deep learning, with a purpose-built portfolio of AI infrastructure. Enjoy the latest in GPU performance and networking with Azure N-Series virtual machines (VMs) and seamlessly orchestrate your simulations on the cloud with Azure Batch and Azure CycleCloud.
AI Infrastructure optimized for Azure Machine Learning
Build, deploy, and manage high-quality models faster using Azure Machine Learning. Accelerate your time to value using industry-leading machine learning operations, open-source interoperability, and integrated tools—all of which are fully supported and optimized by AI Infrastructure.
Introducing the most powerful, massively scalable AI VMs on Azure
Get supercomputing performance for your most complex generative AI models with ND H100 v5 VMs, now in preview. These VMs deliver reliability at massive scale and offer significant improvements over previous generations with on-demand sizes ranging from eight to thousands of NVIDIA H100 GPUs interconnected by NVIDIA Quantum-2 InfiniBand networking.
Meet AI demands at any scale with purpose-built infrastructure
AI is one of the most inspiring areas of technology evolution. Performance requirements for AI, however, are significantly different from other enterprise applications. AI requires infrastructure built specifically for compute-intensive, large-scale AI workloads. Learn how Microsoft and NVIDIA's AI-first approach can accelerate AI innovation, simplify operations and increase performance.
Accelerate large-scale AI innovation and empower decision
Azure’s leading cloud AI supercomputing infrastructure, and end-to-end machine learning capabilities, gives you the best performance, scalability, and built-in security needed to build, train, and deploy some of the most demanding AI workloads with confidence. From the training complex AI models to deep learning, and inference, Azure delivers solutions backed by Microsoft’s Responsible AI principles, and consistency for data scientists with a familiar toolchain.
Accelerate scientific discovery with the intelligent cloud and intelligent edge
Perform cutting-edge research faster with intelligent capabilities on a specialized hardware and software stack.