Azure high-performance computing (HPC) for machine learning and AI workloads
Versatile infrastructure for deep learning workloads
Take advantage of near-infinite CPUs and GPUs by running your compute-intensive deep learning workloads on an InfiniBand network or bare-metal Cray supercomputer—and seamlessly orchestrate your simulations on the cloud with Azure Batch and Azure CycleCloud.
Advanced analytics and machine learning as a service
Gain more insights by running inferencing models on top of your simulation data – on a fully configured environment using the software stack and hardware of your choice.
Leadership in AI research
Microsoft is at the forefront of building next-generation intelligent numerical methods. And, with the cloud scale of Azure, Microsoft is delivering reliable HPC infrastructure and tools to scientists and researchers who previously didn’t have access.
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 impacts on the weather using 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.
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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