The demand for compute capacity to sustain business modernization and digital transformation initiatives continues to grow. Organizations are facing a complex set of challenges as they deploy a broad range of workloads globally, from the edge to the cloud.
Here at Microsoft, we’ve empowered our long-standing partners in the semiconductor industry to embrace Azure’s cloud infrastructure and scale out electronic design automation (EDA).
Confidential computing technology encrypts data in memory and only processes it once the cloud environment is verified, helping protect data from cloud operators, malicious admins, and privileged software.
Continuing with our promise to offer innovative solutions for our customers, we are very excited to announce that our latest NVads A10 v5 series is now available for preview.
Azure HBv3 virtual machines (VMs) are now upgraded to and generally available with AMD EPYC 3rd Gen processors with 3D V-Cache, formerly codenamed “Milan-X”, in the Azure East US, South Central, and West Europe regions.
Imagine getting more from your VMware workloads by easily extending them to the cloud—and optimizing your costs in the process. Azure VMware Solution, a jointly engineered Microsoft and VMware service, makes this possible.
When we launched Azure Spring Cloud with VMware in 2019, we set out to solve common challenges developers, IT operators, and DevOps teams face when running Spring Boot applications at scale.
For organizations looking to accelerate innovation through improved IT operation and hybrid cloud migration, we’re pleased to announce expanded management capabilities and preview offerings for Linux workloads running on Azure at this year’s Azure Open Source Day.
Welcome to our first Azure HPC + AI Day! We’re excited to host the first event, which will soon become an annual tradition.
Today, we’re excited to announce the completion of the project’s first two milestones—the preview of VM availability data in Azure Resource Graph, and the private preview of a VM availability metric in Azure Monitor.
Cloud computing and digital transformation have been powerful enablers for genomics. Genomics is expected to be an exabase-scale big data domain by 2025, posing data acquisition and storage challenges on par with other major generators of big data.
Rightsizing is one of the key levers you have for controlling costs and optimizing resources. By understanding cloud economics, and using what Azure provides, you can identify the smallest virtual server instances that support your requirements and realize immediate savings by eliminating unused capacity.
