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 and seamlessly orchestrate your simulations on the cloud with Azure Batch and Azure CycleCloud.
AI Infrastructure optimised 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 (MLOps), open-source interoperability, and integrated tools—all of which are fully supported and optimised by AI Infrastructure.
Trusted leader in AI
Microsoft is a proven leader in AI, delivering the AI-optimised infrastructure that helps build and train some of the industry’s most advanced AI solutions, including OpenAI and NVIDIA, as well as Azure Machine Learning and Azure Cognitive Services.
Explore breakthroughs made possible with AI on Azure HPC infrastructure
Whether it’s with powerful remote workstations, clusters with near-infinite scale, big data analytics, or machine learning, industries all over the world are achieving more with Azure HPC.
Roche develops first deep learning approach to somatic mutation detection
Roche Bioinformatics has developed a novel deep learning approach to detecting cancer mutations using Azure HPC infrastructure and workflow services.
Audi accelerates development of autonomous driving solutions
Audi uses Azure HPC, virtual machines, and AI services to simulate autonomous driving scenarios using enormous volumes of data generated by vehicle sensors.
BP boosts safety, increases efficiency, and drives business success
"We chose Azure Machine Learning because it offers a rich, end-to-end AI ecosystem that provides the features we need to bring solutions to market quickly."Lance Goodship, Enterprise Architect, AI, BP
Munich Re analyses risks of climate change using machine learning and high-performance VMs
Munich Re has collected natural disaster data for over 40 years, but in the last decade the amount of data has multiplied to 3,000 TB. Using, Azure HPC, Munich Re can now better identify trends in that data to reduce vulnerabilities and losses.
University Health Network bridges the gap between cancer research and treatment
Scientists at UHN are using Azure HPC and AI services to create the first shared database where clinicians around the world will be able to run biopsy results through an algorithm to assist in treating cancer patients.
AccuWeather predicts weather impacts with cloud-based machine learning
"Azure really stands out from other clouds by providing out-of-the-box machine learning capabilities that are powerful yet customizable using R and Python. It's very important to our data scientists to have a cloud platform that plays well with open source."Rosemary Yeilding Radich, Director, Data Science, AccuWeather
Accelerate scientific discovery with the intelligent cloud and intelligent edge
Perform cutting-edge research faster with intelligent capabilities on a specialised hardware and software stack.
Improving manual QA processes with real-time AI
Scientists work to solve global environmental challenges with Azure HPC
Microsoft researchers develop AI to power autonomous soaring
Develop your machine learning solution with an Azure HPC industry partner
"We're working hard to empower every organization with AI so that they can make smarter products and solve some of the world's most pressing problems. By working closely with NVIDIA and harnessing the power of GPU-accelerated systems, we've made Cognitive Toolkit and Microsoft Azure the fastest, most versatile AI platform. AI is now within reach of any business."Harry Shum, Executive Vice President of AI and Research, Microsoft
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