We’re expanding the Microsoft Azure Stack Edge with NVIDIA T4 Tensor Core GPU preview during the GPU Technology Conference (GTC Digital). Azure Stack Edge is a cloud-managed appliance that brings Azure’s compute, storage, and machine learning capabilities to the edge for fast local analysis and insights. With the included NVIDIA GPU, you can bring hardware acceleration to a diverse set of machine learning (ML) workloads.
What’s new with Azure Stack Edge
At Mobile World Congress in November 2019, we announced a preview of the NVIDIA GPU version of Azure Stack Edge and we’ve seen incredible interest in the months that followed. Customers in industries including retail, manufacturing, and public safety are using Azure Stack Edge to bring Azure capabilities into the physical world and unlock scenarios such as the real-time processing of video powered by Azure Machine Learning.
These past few months, we’ve taken our customers’ feedback to make key improvements and are excited to make our preview available to even more customers today.
Azure Machine Learning: Build and train your model in the cloud, then deploy it to the edge for FPGA or
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. Whether it’s a manufacturer running advanced simulations, an energy company optimizing drilling through real-time well monitoring, an architecture firm providing professional virtual graphics workstations to employees who need to work remotely, or a financial services company using AI to navigate market risk, Microsoft’s collaboration with NVIDIA makes access to NVIDIA graphics processing units (GPU) platforms easier than ever.
These modern needs require advanced solutions that were traditionally limited to a few organizations because they were hard to scale and took a long time to deliver. Today, Microsoft Azure delivers HPC capabilities, a comprehensive AI platform, and the Azure Stack family of hybrid and edge offerings that directly address these challenges.
This year during GTC Digital, we’re spotlighting some of the most transformational applications powered by NVIDIA GPU acceleration that highlight our commitment to edge, on-prem, and cloud computing. Registration is free, so sign up to learn how Microsoft is powering transformation.
Visualization and GPU workstations
Azure enables a wide range of visualization workloads, which are critical
Azure Network Watcher’s new and improved Connection Monitor now provides unified end-to-end connection monitoring capabilities for hybrid and Azure deployments. Users can now use the same solution to monitor connectivity for on-premises, Azure, and multi-cloud setups. In this preview phase, the solution brings together the best of two key capabilities—Network Watcher’s Connection Monitor and Network Performance Monitor’s (NPM) Service Connectivity Monitor. Check out the documentation and start using Connection Monitor to check connectivity in your network.
The monitoring question
Customers have long stressed over the need for unified connection monitoring for hybrid deployments, where complex applications transact across Azure, on-premises, and with other public applications to deliver business-critical functionality. These challenges escalate in multi-cloud environments. Monitoring teams then wrestle with basic challenges including:
Which monitoring solution to use in these complex set-ups? Do I need different monitoring solutions for on-premises and Azure or any other clouds? Where does my data go and how do I correlate data from multiple sources? How do I get the fastest alerts when things go wrong in my network? Connection Monitor in preview
With the new Connection Monitor, you can now configure both Azure and non-Azure virtual machines and hosts for monitoring connectivity to global
IT environments are becoming more complex as organizations are combining on-premises, cloud, and edge infrastructures. There are some major benefits to having a flexible, hybrid IT environment, such as the ability to create new business value while also meeting local and industry compliance requirements, but the headaches of managing and securing these environments are hard to ignore. But, with a solid strategy and the right tools, there’s enormous potential for innovation and growth with a hybrid environment.
This is why we’re sharing the upcoming one-hour Azure Hybrid Virtual Event on Tuesday, March 31, 2020 starting at 8:00 AM Pacific Time. At this free online event, you’ll get to watch demos, learn hybrid best practices, and find out which strategies work—and which don’t—from two real Azure hybrid customers: online retailer ASOS and professional services company KPMG. Julia White, Corporate Vice President of Microsoft Azure Marketing, will kick off the event with a keynote on current and future hybrid cloud trends, followed by some great sessions:
Insights from Bain & Company—building a successful hybrid cloud: Hear from Bill Radzevych, a partner at Bain & Company, about market trends and customer insights with digital transformation and cloud adoption. Seamlessly manage and govern resources:
Do you need rugged, compact-sized hyperconverged infrastructure (HCI) enabled servers to run your branch office and edge workloads? Do you want to modernize your applications and IoT functions with container technology? Do you want to leverage Azure’s hybrid services such as backup, disaster recovery, update management, monitoring, and security compliance?
Well, Microsoft and HPE have teamed up to validate the HPE Edgeline EL8000 Converged Edge system for Microsoft’s Azure Stack HCI program. Designed specifically for space-constrained environments, the HPE Edgeline EL8000 Converged Edge system has a unique 17-inch depth form factor that fits into limited infrastructures too small for other x86 systems. The chassis has an 8.7-inch width which brings additional flexibility for deploying at the deep edge, whether it is in a telco environment, a mobile vehicle, or a manufacturing floor. This Network Equipment-Building System (NEBs) compliant system delivers secure scalability.
HPE Edgeline EL8000 Converged Edge system gives: Traditional x86 compute optimized for edge deployments, far from the traditional data center without the sacrifice of compute performance. Edge-optimized remote system management with wireless capabilities based on Redfish industry standard. Compact form factor, with short-depth and half-width options. Rugged, modular form factor for secure scalability and serviceability in edge and hostile environments including
At the recent Microsoft Ignite 2019 conference, we introduced two new and related perspectives on the future and roadmap of edge computing.
Before getting further into the details of Network Edge Compute (NEC) and Multi-access Edge Compute (MEC), let’s take a look at the key scenarios which are emerging in line with 5G network deployments. For a decade, we have been working with customers to move their workloads from their on-premises locations to Azure to take advantage of the massive economies of scale of the public cloud. We get this scale with the ongoing build-out of new Azure regions and the constant increase of capacity in our existing regions, reducing the overall costs of running data centers.
For most workloads, running in the cloud is the best choice. Our ability to innovate and run Azure as efficiently as possible allows customers to focus on their business instead of managing physical hardware and associated space, power, cooling, and physical security. Now, with the advent of 5G mobile technology promising larger bandwidth and better reliability, we see significant requirements for low latency offerings to enable scenarios such as smart-buildings, factories, and agriculture. The “smart” prefix highlights that there is a compute-intensive workload,
Do you need rugged, compact-sized hyperconverged infrastructure (HCI) enabled servers to run your branch office and edge workloads? Do you want to modernize your applications and IoT functions with container technology? Do you want to leverage Azure’s hybrid services such as backup, disaster recovery, update managment, monitoring, and security compliance?
Microsoft and Lenovo have teamed up to validate the Lenovo ThinkSystem SE350 for Microsoft’s Azure Stack HCI program. The ThinkSystem SE350 was designed and built with the unique requirements of edge servers in mind. It is versatile enough to stretch the limitations of server locations, providing a variety of connectivity and security options and can be easily managed with Lenovo XClarity Controller. The ThinkSystem SE350 solution has a focus on smart connectivity, business security, and manageability for the harsh environment. To see all Lenovo servers validated for Azure Stack HCI, see the Azure Stack HCI catalog to learn more.
Lenovo ThinkSystem SE350:
The ThinkSystem SE350 is the latest workhorse for the edge. Designed and built with the unique requirements for edge servers in mind, it is versatile enough to stretch the limitations of server locations, providing a variety of connectivity and security options and is easily managed with Lenovo XClarity
https://azure.microsoft.com/blog/expanding-the-azure-stack-portfolio-to-run-hybrid-applications-across-the-cloud-datacenter-and-the-edge/Since announcing Azure Stack in 2017, we’ve set the stage for extending the cloud to customers’ datacenters. The hybrid cloud has been one of the design principles for Azure from the start. Today, customers including the Hong Kong Exchanges and READ MORE
With the exponential growth in data, organizations find themselves in increasingly heterogenous data estates, full of data sprawl and silos, spreading across on-premises data centers, the edge, and multiple public clouds. It has been a balancing act for organizations trying to bring about innovation faster while maintaining consistent security and governance. The lack of a unified view of all their data assets across their environments poses extra complexity for best practices in data management.
As Satya announced in his vision keynote at Microsoft Ignite, we are redefining hybrid by bringing innovation anywhere with Azure. We are introducing Azure Arc, which brings Azure services and management to any infrastructure. This enables Azure data services to run on any infrastructure using Kubernetes. Azure SQL Database and Azure Database for PostgreSQL Hyperscale are both available in preview on Azure Arc, and we will bring more data services to Azure Arc over time.
For customers who need to maintain data workloads in on-premises datacenters due to regulations, data sovereignty, latency, and so on, Azure Arc can bring the latest Azure innovation, cloud benefits like elastic scale and automation, unified management, and unmatched security on-premises.
A top pain point we continue to hear
If you are like many of our customers, you run a mix of applications in your on-premises datacenters, in the cloud and at the edge. We have been on a journey over the last few years to bring you hybrid innovations to meet you where you are. We have invested in individual connected management services such as Azure Monitor and Azure Backup. We have also delivered a consistent platform through Azure Stack Hub, ensuring that investments made in Azure can be used in disconnected environments.
Many enterprises still face a sprawl of resources spread across multiple datacenters, clouds, and edge locations. Our customers tell us that they are looking for a cloud-native control plane to inventory, organize, and enforce policies for their IT resources wherever they are, from a central place.
At Microsoft Ignite this week, we’re taking another major step forward with our hybrid technology. We are announcing Azure Arc, a set of technologies that extends the control plane of Azure out to on-premises, multi-cloud environments and edge. Azure Arc enables customers to have a central, unified, and self-service approach to manage their Windows and Linux Servers, Kubernetes clusters, and Azure data services wherever they are. Azure Arc also