Finding scalable solutions for today’s global challenges requires forward-thinking, transformative tools. As environmental, economic, and public health concerns mount, Microsoft Azure is addressing these challenges head on with high-performance computing (HPC), AI, and machine learning.
Azure’s market-leading vision for HPC and AI is based on a commitment to continual improvement and backed by a core of genuine and recognized HPC expertise, using proven HPC technology and design principles, enhanced with the best features of the cloud.
This year during NVIDIA GTC 21, we’re spotlighting some of the most transformational applications powered by NVIDIA accelerated computing that highlights our commitment to edge, on-premises, and cloud computing. Registration is free, so sign up to learn how Microsoft is powering transformation.
Whether it’s understanding our environment, public health, energy sustainability, weather modeling, economic growth, and many others finding solutions to these important challenges requires huge amounts of focused computing power.
Customers around the world rely on Microsoft Azure to drive innovations related to our environment, public health, energy sustainability, weather modeling, economic growth, and more.
Customers around the world rely on Microsoft Azure to drive innovations related to our environment, public health, energy sustainability, weather modeling, economic growth, and more.
The world of supercomputing is evolving. Work once limited to high-performance computing (HPC) on-premises clusters and traditional HPC scenarios, is now being performed at the edge, on-premises, in the cloud, and everywhere in between.
For more than three decades, the researchers and practitioners that make up the high-performance computing (HPC) community will come together for their annual event. More than ten thousand strong in attendance, the global community will converge on Denver, Colorado to advance the state-of-the-art in HPC.
We’re excited to announce Cray ClusterStor in Azure, a dedicated solution to accelerate data processing of the most complex HPC jobs running in Azure.
