Azure Stack HCI with accelerated AI and machine learning
Published date: 31 mars, 2020
Deploy accelerated AI cloud workloads and your own business logic, as well as other Azure services, to run on Azure Stack HCI via standard containers by using GPUs with Azure IoT Edge (learn more about this capability in this technology showcase, developed in partnership with Lenovo). This is done by using an NVIDIA graphics processing unit (GPU) with Azure Stack HCI using discrete device assignment (DDA) technology and running Azure IoT Edge in an Ubuntu virtual machine.
The storage spaces direct technology in Azure Stack HCI has built-in support for non-volatile memory express (NVMe), persistent memory, and remote direct memory access (RDMA) networking, and achieves industry-leading performance with resiliency.
Futureproof your investments, modernize your branch offices and datacenters, and refresh and consolidate hardware and storage using GPU capabilities and the power of Azure Stack HCI as a high-performance virtualization and storage platform. In addition, take advantage of Windows Admin Center for Azure services such as Azure Backup.