We’re honored to be acknowledged by Gartner® as a Chief within the just lately printed 2023 Gartner® Magic Quadrant™ for Strategic Cloud Platform Providers (SCPS). Within the report, Gartner positioned Microsoft furthest in Completeness of Imaginative and prescient.
For years, we’ve understood that the business trusts Gartner Magic Quadrant experiences to supply a holistic evaluate of cloud suppliers’ capabilities. We’re happy by this placement within the Gartner report as we proceed to prioritize investments to make Azure the worldwide cloud computing platform powering transformation and progress—enabling new prospects for organizations to embrace the most recent applied sciences and to advance at a fast tempo. With extremely safe, state-of-the-art Azure datacenters designed with knowledge residency in thoughts, Azure hosts probably the most superior supercomputers on the earth.
The Gartner report validates our dedication to empowering clients to succeed in new heights. We’re happy with our purpose-built cloud infrastructure for the period of AI, one that’s adaptive throughout on-prem, multicloud and edge environments, for our full improvement platform with superior instruments to speed up developer productiveness, for our AI companies and instruments to empower innovation, and for our intensive partnerships throughout a variety of business leaders to offer clients the alternatives they want.
We’re honored for this recognition and can proceed to construct the long run along with our clients, regardless of the place they’re within the cloud journey.
2023 Gartner® Magic Quadrant™ for Strategic Cloud Platform Providers (SCPS) report
Microsoft continues to construct pathway for resiliency, scale, and innovation by prioritizing cloud investments
Goal-built cloud infrastructure for the period of AI
We proceed to construct our AI infrastructure in shut collaboration with silicon suppliers and business leaders, incorporating the most recent improvements in software program, energy, fashions, and silicon. Azure works carefully with NVIDIA to supply NVIDIA H100 Tensor Core (GPU) graphics processing unit-based digital machines (VMs) for mid to large-scale AI workloads. We’ve additionally expanded our partnership with AMD, enabling our clients with decisions to satisfy their distinctive enterprise wants. These investments have allowed Azure to pioneer efficiency for AI supercomputing within the cloud and have persistently ranked us because the primary cloud within the high 500 of the world’s supercomputers.
With these additions to the Azure infrastructure {hardware} portfolio, our platform allows us to ship the most effective efficiency and effectivity throughout all workloads.
An adaptive cloud throughout on-prem, multicloud and edge environments
The cloud is evolving to assist buyer workloads wherever they’re wanted. We understand cloud migration isn’t a one-size-fits-all strategy, and that’s why we’re dedicated to assembly clients the place they’re of their cloud journey. With Azure you may have an adaptive cloud that allows you to thrive in dynamic environments by unifying siloed groups, distributed websites, and sprawling methods into single operations, utility, and knowledge mannequin in Azure.
Azure Arc helps clients implement their adaptive cloud methods, offering a bridge that extends the Azure platform and allows them to construct functions and companies throughout datacenters, on the edge, and in multicloud environments. By means of a portfolio of companies, instruments, and infrastructure, organizations can reap the benefits of Azure companies inside a single management airplane. And with the latest normal availability of VMware vSphere enabled by Azure Arc that brings collectively Azure and the VMware vSphere infrastructure, VMware directors can empower their builders to make use of Azure applied sciences with their present server-based workloads and new Kubernetes workloads all from Azure.
Day by day, cloud directors and IT professionals are being requested to do extra. We persistently hear from clients they’re tasked with a wider vary of operations; they’re required to collaborate with extra customers, and assist extra advanced must ship on growing buyer demand—all whereas integrating extra workloads into their cloud atmosphere. To assist our clients, we just lately launched the general public preview of Microsoft Copilot for Azure, a brand new answer constructed into Azure that may assist simplify how they design, function, or troubleshoot apps and infrastructure from cloud to edge.
One location to construct, check, and deploy AI improvements securely
We’re solely simply beginning to perceive the potential of generative AI and the way it will rework the best way we stay and work. Builders are on the coronary heart of this new wave of innovation, pushing the boundaries of what’s doable. With a cloud-first strategy builders spend much less time on sustaining apps and infrastructure and extra time on innovating and ideating, decreasing the time to market. What’s extra, builders can construct with confidence, understanding that Azure has built-in instruments and applied sciences to assist guarantee a safe and accountable strategy from improvement to deployment.
The public preview of Azure AI Studio provides builders every little thing they should construct, check, and deploy AI improvements in a single handy location: cutting-edge fashions, knowledge integration for retrieval augmented era (RAG), clever search capabilities, full-lifecycle mannequin administration, and content material security. Azure AI Content material Security is out there in Azure AI Studio so builders can simply consider mannequin responses multi function unified improvement platform to rapidly and effectively detect offensive or inappropriate content material in textual content and pictures, Clients like Heineken, Thread, Moveworks, Manulife , and so many extra are placing Azure AI applied sciences to work for his or her companies and their very own clients and staff.
Built-in, AI-based instruments to assist builders innovate effectively
The combination of AI-based instruments within the improvement cycle is not only accelerating innovation, but additionally enabling builders to spend extra time on strategic, significant work, and fewer time on duties like debugging and infrastructure administration. With Microsoft DevBox, builders can streamline improvement with safe, ready-to-code workstations within the cloud, leveraging self-service entry to high-performance, cloud-based workstations preconfigured and ready-to-code for particular tasks. GitHub Copilot makes use of AI know-how to counsel code within the editor maximizing time spent on enterprise logic over boilerplate, with builders reporting they will full duties as much as 55% sooner and really feel as much as 88% extra productive.
With instruments which might be designed to work seamlessly collectively, Microsoft’s full improvement platform stack empowers builders with versatile options, to allow them to construct next-gen apps productively and securely, the place they need. GitHub integrates with Azure to supply a steady integration and deployment (CI/CD) pipeline for builders, and with GitHub Enterprise they are often extra environment friendly with as much as 75% enchancment in time spent managing instruments and code infrastructure. Clients like GM are collaborating with Microsoft to assist pace up innovation inside their group, check and study, and create agile environments utilizing Microsoft improvement platforms resembling GitHub, Visible Studio and Microsoft DevBox.
Create differentiated AI experiences with cloud-native apps
Azure’s cloud-native platform is the most effective place to run and scale functions whereas seamlessly embedding Azure’s native AI companies. Azure provides builders the selection between management and adaptability, with full deal with productiveness no matter what possibility is chosen. Azure App Service permits builders to host .NET, Java, Node.js, and Python internet apps and APIs in a totally managed Azure service. Azure takes care of all of the infrastructure administration like excessive availability, load balancing, and autoscaling enabling builders to speed up app improvement to manufacturing as much as 50 p.c with fully-managed Azure App Service. Builders can additional streamline the event course of for sooner time to market with cloud-based instruments and companies together with Azure Kubernetes Service (AKS), GitHub Enterprise and Superior Safety, Azure Cosmos DB, and Azure Cognitive Providers. And with Microsoft Copilot for Azure, builders have an AI companion to assist them design, function, optimize, and troubleshoot on a regular basis duties with AKS and Kubernetes. Clients resembling Sapiens have leveraged the synergy between cloud-native applied sciences and AI to speed up their digital transformation and ship extra worth to their finish customers with clever apps.
Constructing the long run collectively
We’re devoted to empowering our clients with know-how that unlocks limitless innovation, serving to them wherever they’re on their know-how journey. We use the a long time of expertise we’ve in migrating Microsoft’s on-premises workloads to the cloud, to tell how we make it simpler for purchasers and companions to make use of the cloud—from how we construct merchandise, to the real-world migration steering we offer. It’s why 95 p.c of Fortune 500 firms belief Azure with their enterprise on Azure. Clients like AT&T depend on Azure AI for Enterprise Chat GPT and higher data mining and the World Financial institution who’s utilizing Azure cloud-based answer to centralized monitoring, efficiency, useful resource consumption, and safety administration throughout clouds, all in a single package deal.
And we aren’t doing this alone. We’ve got an enormous international accomplice community and a rising variety of know-how partnerships throughout a variety of business leaders resembling, Databricks, Netapp, NVIDIA, Oracle, OpenAI, SAP, Snowflake, VMware, and others. We just lately introduced a partnership to deliver Oracle Database Providers into Azure to assist maximize effectivity and resiliency for our mutual clients’ companies. Our investments with SAP proceed to develop, enhancing efficiency and resilience for mission important workloads with new highly effective infrastructure choices for our SAP clients such because the Azure M-series Mv3 household, the subsequent era of reminiscence optimized digital machines (VMs). As we increase partnerships with OpenAI, Meta and Hugging Face, we create extra alternatives for organizations and builders to construct generative AI experiences, providing probably the most complete choice of frontier, open and industrial fashions.
As Microsoft continues to innovate on the pace of AI, Azure is on the basis of all our innovation, powering all elements of the Microsoft Cloud and our copilots. Azure makes it doable for organizations to securely embrace the most recent applied sciences and leverage them to create new ones. We endlessly optimize our infrastructure to deliver sooner, safe, dependable, and extra sustainable computing energy, in order that our clients and companions can construct with confidence. Linked by one of many largest interconnected networks on the planet, we’re offering unprecedented scalability, low latency, knowledge residency, and excessive availability to our clients world wide. Azure gives the cloud platform wherever you’re with extremely safe, state-of the artwork Azure datacenters, providing 60+ areas—greater than another cloud supplier.
With Azure, clients can belief they’re on a safe and well-managed basis to make the most of the most recent developments in AI and cloud-native companies, safely and responsibly, to create as we speak’s options and tomorrow’s breakthroughs. We’re devoted to the success of our clients and companions, and proceed to put money into ways in which guarantee Azure is the main selection for purchasers, huge and small across the globe.
Uncover assets on your cloud journey
Disclaimer:
Gartner, Magic Quadrant for Strategic Cloud Platform Providers, David Wright, Dennis Smith, and 4 extra, 4 December 2023.
The report was beforehand often known as Magic Quadrant for Cloud Infrastructure and Platform Providers (2020-2022) and Magic Quadrant for Cloud Infrastructure as a Service until 2019.
Gartner is a registered trademark and repair mark and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its associates within the U.S. and internationally and are used herein with permission. All rights reserved.
This graphic was printed by Gartner, Inc. as half of a bigger analysis doc and must be evaluated within the context of your entire doc. The Gartner doc is out there upon request right here.
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