Accelerate AI innovation with the Microsoft commercial marketplace

With Microsoft Build 2024 right around the corner, I am excited to share how the Microsoft commercial marketplace is extending innovation. As we enter the era of AI, I’m seeing developers utilize the marketplace to use cutting-edge AI tools that accelerate adoption of next-generation solutions for their organizations. At the same time, more customers than ever are using the marketplace to find, try, and adopt new AI solutions quickly. Ultimately, the marketplace—as an extension of the Microsoft Cloud—is how your AI and Microsoft Copilot applications are discovered and deployed.

At the heart of the marketplace is our extensive catalog of solutions from Microsoft’s robust network of partners and software development companies. These solutions are surfaced across our in-product experiences, as well as in our storefronts. Today, the marketplace supports a diverse catalog of AI-powered solutions, including AI-enabled software-as-a-service (SaaS) offerings, Copilot extensions, AI-enabled Microsoft Teams applications, machine learning models from partners such as Mistral AI, and more. While Microsoft supports a number of ways for partners to build AI-based technology, the marketplace is where customers can find all of these solutions from one trusted source.

Partners innovating with AI

We’ve seen a triple-digit percentage increase year-over-year in transactable AI offers published on the Microsoft commercial marketplace. And customers are eager to discover the AI solutions that best fit their unique needs. Visits to AI solution pages on our storefronts have increased more than 700% year-over-year, and AI solutions continue to make up a rapidly growing percentage of sales transacted through the marketplace.

During one of our Microsoft Build sessions, you’ll hear from two partners who are building exciting AI solutions that leverage the Microsoft Cloud and are available now through the marketplace:

• Pinecone helps companies build generative AI applications faster with vector databases. Pinecone can be deployed with Microsoft Azure and across various data sources, models, and frameworks. Pinecone serverless, coming to the marketplace soon, will deliver generative AI applications even faster at up to 50 times lower cost.
• UiPath’s Business Automation Platform enables customers to supercharge productivity, transform user experiences, and innovate faster with AI-powered automations. With more than 80 platform integrations, customers can tap into UiPath enterprise-grade automation capabilities directly from Microsoft 365, Azure, Microsoft Dynamics 365, and Copilot.

Smarter purchasing through the marketplace

Microsoft is the only company that can support the entire ecosystem of AI—from the infrastructure and data layers all the way to the front-end user experience with Copilot. This enables developers to build next-generation AI tools quickly and for partners to connect their AI solutions to the Microsoft customer base through the marketplace—making it efficient and scalable for organizations to discover and adopt AI broadly. During this AI transformation, the Microsoft commercial marketplace is how we are enabling businesses of every size to access the solutions they need.

With rapid technological development, it has become even more important to balance the need to innovate with meeting business requirements. By aligning SaaS strategy to the marketplace, organizations can unify their data to get the most out of their AI investments:

• Try before you buy. The marketplace allows you to try new solutions before you make a larger commitment. Free trials or direct purchases of a small number of licenses can ensure the technology works for your organization before making a big investment. The marketplace also supports proofs-of-concept with private offers, so you can further vet solutions before widescale adoption.
• Innovate faster. Centralizing cloud portfolios helps you decrease time-to-value. AI solutions are part of one comprehensive catalog and pre-certified to run on Azure. Vendors can be onboarded instantly, and billing is simplified through a single invoice.
• Maximize investments. Organizations can optimize cloud spend by counting the solutions they need towards their Azure consumption commitment. Microsoft automatically counts 100% of eligible offers towards your commitment, helping unlock discounts on Azure infrastructure.
• Create alignment across teams. The marketplace makes it easier to keep teams aligned using approved solutions. With private Azure marketplace, an administrator can pre-select approved solutions so your team can compliantly access what they need. If a needed solution is not yet approved, team members can easily request it be added, empowering innovation with the right guardrails to safeguard investments. 

All of this translates into huge savings of time and money. In a 2023 Total Economic Impact™ study commissioned by Microsoft, Forrester Consulting found the marketplace delivers customers a three-year 587% return on investment (ROI) with a payback period of less than six months.

Join us at Microsoft Build

We’re excited to be accelerating the era of AI by setting the standard for the creation and commerce of AI solutions. For developers building new solutions, I encourage you to check out tools and benefits from ISV Success that will help you realize these innovations. Partners can also use Marketplace Rewards to accelerate their marketplace growth and generate high impact opportunities.

Source: microsoft.com

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Introducing GPT-4o: OpenAI’s new flagship multimodal model now in preview on Azure

Microsoft is thrilled to announce the launch of GPT-4o, OpenAI’s new flagship model on Azure AI. This groundbreaking multimodal model integrates text, vision, and audio capabilities, setting a new standard for generative and conversational AI experiences. GPT-4o is available now in Azure OpenAI Service, to try in preview, with support for text and image.

A step forward in generative AI for Azure OpenAI Service

GPT-4o offers a shift in how AI models interact with multimodal inputs. By seamlessly combining text, images, and audio, GPT-4o provides a richer, more engaging user experience.

Launch highlights: Immediate access and what you can expect

Azure OpenAI Service customers can explore GPT-4o’s extensive capabilities through a preview playground in Azure OpenAI Studio starting today in two regions in the US. This initial release focuses on text and vision inputs to provide a glimpse into the model’s potential, paving the way for further capabilities like audio and video.

Efficiency and cost-effectiveness

GPT-4o is engineered for speed and efficiency. Its advanced ability to handle complex queries with minimal resources can translate into cost savings and performance.

Potential use cases to explore with GPT-4o

The introduction of GPT-4o opens numerous possibilities for businesses in various sectors: 

1. Enhanced customer service: By integrating diverse data inputs, GPT-4o enables more dynamic and comprehensive customer support interactions.
2. Advanced analytics: Leverage GPT-4o’s capability to process and analyze different types of data to enhance decision-making and uncover deeper insights.
3. Content innovation: Use GPT-4o’s generative capabilities to create engaging and diverse content formats, catering to a broad range of consumer preferences.

Exciting future developments: GPT-4o at Microsoft Build 2024 

We are eager to share more about GPT-4o and other Azure AI updates at Microsoft Build 2024, to help developers further unlock the power of generative AI.

Source: microsoft.com

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Bringing generative AI to Azure network security with new Microsoft Copilot integrations

Today we are excited to announce the Azure Web Application Firewall (WAF) and Azure Firewall integrations in the Microsoft Copilot for Security standalone experience. This is the first step we are taking toward bringing interactive, generative AI-powered capabilities to Azure network security.

Copilot empowers teams to protect at the speed and scale of AI by turning global threat intelligence (78 trillion or more security signals), industry best practices, and organizations’ security data into tailored insights. With the growing cost of security breaches, organizations need every advantage to protect against skilled and coordinated cyber threats. To see more and move faster, they need generative AI technology that complements human ingenuity and refocuses teams on what matters.

• Experienced security analysts were 22% faster with Copilot.
• They were 7% more accurate across all tasks when using Copilot.
• And, most notably, 97% said they want to use Copilot the next time they do the same task.

Generative AI for Azure network security

Azure WAF and Azure Firewall are critical security services that many Microsoft Azure customers use to protect their network and applications from threats and attacks. These services offer advanced threat protection using default rule sets as well as detection and protection against sophisticated attacks using rich Microsoft threat intelligence and automatic patching against zero-day vulnerabilities. These systems process huge volumes of packets, analyze signals from numerous network resources, and generate vast amounts of logs. To reason over terabytes of data and cut through the noise to detect threats, analysts spend several hours if not days performing manual tasks. In addition to the scale of data there is a real shortage of security expertise. It is difficult to find and train cybersecurity talent and these staff shortages slow down responses to security incidents and limit proactive posture management. 

With our announcement of Azure WAF and Azure Firewall integrations in Copilot for Security, organizations can empower their analysts to triage and investigate hyperscale data sets seamlessly to find detailed, actionable insights and solutions at machine speeds using a natural language interface with no additional training. Copilot automates manual tasks and helps upskill Tier 1 and Tier 2 analysts to perform tasks that would otherwise be reserved for more experienced Tier 3 or Tier 4 professionals, redirecting expert staff to the hardest challenges, thus elevating the proficiency of the entire team. Copilot can also easily translate threat insights and investigations into natural language summaries to quickly inform colleagues or leadership. The organizational efficiency gained by Copilot summarizing vast data signals to generate key insights into the threat landscape enables analysts to outpace adversaries in a matter of minutes instead of hours or days.

How Copilot for Security works with the Azure Firewall and Azure WAF plugins.

Azure Web Application Firewall integration in Copilot

Today, Azure WAF generates detections for a variety of web application and API security attacks. These detections generate terabytes of logs that are ingested into Log Analytics. While the logs give insights into the Azure WAF actions, it is a non-trivial and time-consuming activity for an analyst to understand the logs and gain actionable insights.

The Azure WAF integration in Copilot for Security helps analysts perform contextual analysis of the data in minutes. Specifically, it synthesizes data from Azure Diagnostics logs to generate summarization of Azure WAF detections tailored to each customer’s environment. The key capabilities include investigation of security threats—including analyzing WAF rules triggered, investigating malicious IP addresses, analyzing SQL Injection (SQLi) and Cross-site scripting (XSS) attacks blocked by WAF, and natural language explanations for each detection.

By asking a natural-language question about these attacks, the analyst receives a summarized response that includes details about why that attack occurred and equips the analyst with enough information to investigate the issue further. In addition, with the assistance of Copilot, analysts can retrieve information on the most frequently offending IP addresses, identify top malicious bot attacks, and pinpoint the managed and custom Azure WAF rules that have been triggered most frequently within their environment.

A sneak peek at the Azure WAF integration in Copilot for Security.

Azure Firewall integration in Copilot

Azure Firewall intercepts and blocks malicious traffic using the intrusion detection and prevention system (IDPS) feature today. However, when analysts need to perform a deeper investigation of the threats that Azure Firewall catches using this feature, they need to do this manually—which is a non-trivial and time-consuming task. The Azure Firewall integration in Copilot helps analysts perform these investigations with the speed and scale of AI.

The first step in an investigation is to pick a specific Azure Firewall and see the threats it has intercepted. Analysts today spend hours writing custom queries or navigating through several manual steps to retrieve threat information from Log Analytics workspaces. With Copilot, analysts just need to ask about the threats they’d like to see, and Copilot will present them with the requested information.

The next step is to better understand the nature and impact of these threats. Today, analysts must retrieve additional contextual information such as geographical location of IPs, threat rating of a fully qualified domain name (FQDN), details of common vulnerabilities and exposures (CVEs) associated with an IDPS signature, and more manually from various sources. This process is slow and involves a lot of effort. Copilot pulls information from the relevant sources to enrich your threat data in a fraction of the time.

Once a detailed investigation has been performed for a single Azure Firewall and single threat, analysts would like to determine if these threats were seen elsewhere in their environment. All the manual work they performed for an investigation for a single Azure Firewall is something they would have to repeat fleet wide. Copilot can do this at machine speed and help correlate this information with other security products integrated with Copilot to better understand how attackers are targeting their entire infrastructure.

A sneak peek at the Azure Firewall integration in Copilot for Security.

Looking forward

The future of technology is here, and users will increasingly expect their network security products to be AI enabled; and Copilot positions organizations to fully leverage the opportunities presented by the emerging era of generative AI. The integrations announced today combine Microsoft’s expertise in security with state-of-the-art generative AI packaged together in a solution built with security, privacy, and compliance at its heart to help organizations better defend themselves from attackers while keeping their data completely private.

Getting access

We look forward to continuing to integrate Azure network security into Copilot to make it easier for our customers to be more productive and be able to quickly analyze threats and mitigate vulnerabilities ahead of their adversaries. These new capabilities in Copilot for Security are already being used internally by Microsoft and a small group of customers. Today, we’re excited to announce the upcoming public preview. We expect to launch the preview for all customers for Azure WAF and Azure Firewall at Microsoft Build on May 21, 2024. In the coming weeks, we’ll continuously add new capabilities and make improvements based on your feedback.

Source: microsoft.com    

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Harnessing the power of intelligent apps through modernization

In this era of AI, the pace of innovation is accelerating at an unprecedented rate, triggering a paradigm shift in how businesses think of and deliver digital experiences to their customers. More applications and digital experiences are getting enhanced with AI every day. In fact, 81% of surveyed organizations believe AI will give them a competitive edge. Applications are where AI comes to life and are the path to driving business impact.

However, AI isn’t just a catalyst for new, intelligent services. It is shifting the way applications are built and deployed, and placing new requirements on businesses to modernize their infrastructure, processes and application architectures. Simply put, many of the legacy models for supporting applications will not work for the wave of AI-enhanced, data intensive applications that are arriving in this new era.

Modernization: An imperative for innovating with AI 

The focus and demand for AI is creating an urgency to modernize existing applications, creating new opportunities to innovate with AI and enhance business processes. Businesses are accelerating modernization efforts to meet the demands of their digital and AI transformation. They are adopting cloud native architectures and principles to better facilitate AI adoption and creating a flexible platform that is purpose built for AI and ensures all applications are served with the optimal performance, scale, and security. In her talk on the May 8, 2024 Azure Application Modernization Webinar, Jessica Hawk, Product Marketing Corporate Vice President for Microsoft Azure Data, AI, and Digital Applications sheds more light on Driving Innovation Through Modernization in the Era of AI.

Modernization goes beyond just lifting and shifting application workloads to cloud virtual machines. Modernization is optimizing those applications for the cloud and innovating by infusing AI to make them more intelligent.

• Scalability and flexibility: AI applications have higher requirements for scale and flexibility due to data intensity, the complexities of AI models, the required business impact, and the need for agile development practices to support the fast pace of innovation. If they fail to meet these requirements, AI apps fall short of the expectations and value they drive for businesses. Whether building new applications or modernizing existing ones, cloud platform services offer the flexibility to scale needed to meet business needs, ensuring businesses can respond swiftly to opportunities and customer needs. 
• Data integration: Intelligent applications and datea are inextricably linked. A a critical building block for intelligent apps is access and integration with organizations’ business data. Modernizing to be cloud-centric enables better access to the data needed to drive intelligent apps, even across data sources. This integration is crucial for AI models that drive intelligent applications, enabling them to deliver richer insights and more personalized experiences to customers.
• Innovation and competitive advantage: Perhaps the greatest promise for intelligent applications is the ability to accelerate or enhance innovation. But achieving this promise requires a union of platform and developer services that enables developers to build at speed, freely access the services they need, and adapt without the friction and complexity of traditional infrastructures. The cloud is an enabler for innovation, providing the tools and services necessary for developer teams to build and deploy intelligent application easily. Modernizing legacy applications to the cloud not only provides the needed scalability and flexibility, it also provides development teams with the right tools and services to build and deploy intelligent apps quickly.
• Enhanced security: As with all paradigm shifts in applications, the advent of intelligent apps necessitates rethinking the way that we infuse security into the application, data, and platform—with an unrelenting focus on protecting business and customers. Legacy applications unfortunately aren’t the most secure, modernizing them affords businesses the security needed for their business and customer’s data.

Furthermore, we know the path to modernization isn’t all rosy and easy, with a lot of organizations not yet achieving the goals they set for their modernization projects. Even with the incredible pace of innovation in intelligent apps, we must remember that we are just at the beginning of a massive, long-term transformation in how we build, deliver, and support applications. The market is still learning and evolving and thus businesses need the right strategy, process, and platform to support innovation needed for this era and beyond.

Azure: The platform for AI innovation 

Microsoft is committed to making Azure the best place for all your applications—from the new services you’re building to the existing applications slated for modernization. Architected for the demands of AI, Azure brings together best-in-class apps, data, and AI services for your entire application estate, enabling you to modernize at your own pace, helping developers of all skills work quickly to build new services, and supporting every app with the security, performance, and scale needed to run your most critical business services in production. An IDC study showed that customers that migrated and modernized their application on Azure reduced their overall development lifecycle for new applications by 46% and spent 51% less time deploying new features.

“The Azure Application Platform provides familiar technologies that app developers are used to, but gives them support for the scale and reliability they need to deliver useful applications with generative AI,” said Amanda Silver, Corporate Vice President and Head of Product for Microsoft’s Developer Division, speaking about powering future innovation with Azure Application Platform at the Application Modernization Webinar.

Microsoft is a leader in security and compliance, with significant investments made in cybersecurity and a large team of security experts making a top choice for enterprise security. The Azure platform is backed by this enterprise security. Security and compliance are infused in the innovations of the platform to ensure enterprise security across every layer of the stack from application code to the data layer as well as standards of responsible AI practices across all the vast portfolio of Azure AI services. That same study from IDC states that customers who migrated and modernized to Azure gained up to 46% more efficiency across security teams and up to 27% fewer security breaches.

Coles modernizes customer shopping experience with Azure 

Coles, the Australian grocery retailer, is one of the many customers leveraging the power of Azure to power innovation and drive significant growth. With the need to deliver improved and enhanced customer experiences across all channels at improved speed—Coles embarked on a modernization journey with Azure. Their modernization not only revamped the digital experiences they provide to their customers but also improved the speed at which they delivered and shipped new and innovative digital experiences to their customers.

“Instead of doing six-week releases, we now do weekly releases. And the build time now takes roughly 10 to 15 minutes, compared to what used to be a couple of hours.”

Anton Vishnyakov, Senior Engineer and Manager for Platform Engineering at Coles

Source: microsoft.com

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Microsoft is a Leader in the 2024 Gartner Magic Quadrant for Cloud AI Developer Services

We are excited to announce that Microsoft has been named a Leader for the fifth year in a row in the Gartner® Magic Quadrant™ for Cloud AI Developer Services and are especially proud to be placed furthest for our Completeness of Vision.

We’re pleased by the recognition from Gartner as we continue to prioritize investments across our Azure AI portfolio. We’re at the forefront of empowering customers on their generative AI journey—offering a feature rich, unified platform that provides cutting-edge models, services, and fully integrated tooling to accelerate innovation. It’s why over 65% of the Fortune 500 now use Azure OpenAI Service, and tens of thousands of other organizations across industries and around the world are innovating with Azure AI.

Cutting-edge APIs and models 

Azure AI has continued to push the boundaries of innovation, providing customers with cutting-edge APIs and models that are transforming industries and empowering businesses to achieve more. Our Azure AI services are feature rich and bring the capabilities for responsible AI solutions to create, receive, and respond with images, videos, and audio—enabling more natural interactions with technology, and expanding the possibilities for generative AI applications.    

Azure AI’s model catalog is a testament to Microsoft’s commitment to bringing the most advanced AI models to our customers, fostering an environment of innovation and growth. Through industry leaders like OpenAI, Mistral AI, Cohere, Hugging Face, Meta, and more, the model catalog makes available a diverse selection of over 1,600 large language, small language, and vision models accelerating the availability and diversity of AI models for customers, allowing them to choose the best performance and cost options for their applications.  

Albert Heijn, the leading supermarket chain in the Netherlands, is using Azure AI’s cutting-edge APIs and models to power a series of initiatives covering use cases from customer personalization to demand forecast and food waste projects. One of these applications is “Scan my Recipe,” powered by Microsoft Azure AI Vision and Azure OpenAI Service, the tool allows users to conveniently add all the ingredients from a cookbook recipe to their shopping cart, making healthy cooking more accessible.  

“Because we rely heavily on Azure OpenAI and other Azure services for the use of generative AI, we are co-creating with Microsoft and exploring all the technological possibilities together.” 

Noortje van Genugten, Vice President, Product Operations, Albert Heijn 

Fully integrated tooling 

In the fast-paced realm of AI development, developers need a comprehensive ecosystem of tools that support the development lifecycle, from concept to production and ongoing monitoring. Azure AI’s integrated tooling brings together all the tools you need for building your generative AI solution. Retrieval augmented generation, powered by Azure AI Search, enhances AI models by grounding them securely on your chosen data sources, allowing for more contextually relevant and accurate outputs. Fine-tuning further refines these models with specific data, improving their performance on tasks. Prompt flow orchestrates the development process, enabling efficient experimentation and iteration, while model evaluations offer a robust mechanism to assess and improve model performance systematically. Azure AI Content Safety includes a set of customizable filters for both human- and AI-generated content to help ensure safe generative AI experiences for employees, customers, and partners—free of harmful content. Together, these tools streamline the path from AI conception to deployment, enabling rapid innovation and providing the tools to safeguard your applications across the generative AI lifecycle. 

Telstra, Australia’s leading telecommunications and technology company, is using retrieval augmented generation, powered by Azure AI Search, to ground their generative AI solutions securely on their own data. Their new solutions help frontline workers and customer service agents respond to customers more quickly and effectively with Ask Telstra, which puts technical information at the agents’ fingertips, and One Sentence Summary, which instantly brings agents up-to-speed on customer history.  

“90% of customer service agents who tested One Sentence Summary increased their effectiveness. Their calls required 20% less follow-up….Ask Telstra was judged by 84% of the agents using it to positively impact customer interactions.” 

Rohit Lakhotia, General Manager of Customer and Channel AI, Telstra 

Unified AI development platform  

Today’s generative AI solutions, like custom copilots, require various APIs, models, development tooling, responsible AI features, monitoring, and governance. Stitching together disparate products can be a roadblock, and a drain on developer’s time. That’s why we’re bringing together all the needed services and tools for enterprise generative AI, simplifying the creation, testing, and deployment of AI applications, with our investment in Azure AI Studio.   

Azure AI Studio emphasizes a code-first approach, enabling developers to swiftly move from concept to production while adhering to responsible AI practices. It’s a collaborative space that streamlines the development lifecycle, ensuring security, privacy, and compliance are at the forefront of innovation. 

Together, these tools form a robust ecosystem within Azure AI Studio, empowering customers to develop transformative AI-powered applications with confidence and agility.

Source: microsoft.com

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Introducing the VMware Rapid Migration Plan

Like many customers today, you are probably reevaluating how to best run your VMware workloads, and whether to keep them on-premises or move them to the cloud. Whichever path you choose, it will require an investment of time and resources. This is an opportunity to consider your long-term platform strategy – so you spend your resources wisely to reduce technical debt while you set yourself up for success in the future.

With the era of AI upon us, the benefits of running your workloads in the cloud will grow in ways that you have not yet imagined. For your company to be a leader in its industry, your IT organization needs to be ready to meet new demands:  

• Will you be ready to respond with agility to meet business needs as they arise?  
• Are you well prepared to provide the levels of security, compliance, and resiliency you need?  
• Do your developers have access to the tools they need to innovate, with proximity to the most current data and AI services?  
• Have you automated your environment to maximize efficiency, so your staff has time to work on strategic initiatives? 

A move to Azure today will give you peace of mind with access to 200+ cloud services that ensure you are ready to meet these business needs with confidence for years to come.

Start your journey with Azure VMware Solution  

Azure is a comprehensive cloud with solutions from public cloud to the edge. Azure VMware Solution is a great first step to the cloud for VMware customers, and Microsoft is committed to our partnership with Broadcom to meet the needs of our common customers.

Azure VMware Solution delivers a fully managed VMware environment in Azure that is operated and supported by Microsoft. You can move VMware workloads to Azure “as is” so your applications require little or no refactoring. This streamlines migration and you can continue using familiar skills while learning new Azure skills. The State of Alaska recently migrated 1,200 servers comprising 700 applications in less than three months. The state faces unique challenges due to its size and geography, and the move to centralize applications and data on Azure improved resiliency and security, while helping the state enhance data transparency to its citizens.

As part of your move, we recommend that you optimize with Azure monitoring, security, automation, and other services. This approach has been successfully adopted by Knorr-Bremse, a global manufacturing firm based in Germany. They utilized Azure Migrate and Modernize to facilitate their transition, which included planning, migration, and staff training for Azure skills. They now efficiently run their workloads using Azure VMware Solution as well as other Azure IaaS and PaaS services. The beauty of Azure management services like Azure Monitor is that you can use them across all your cloud workloads and extend them to manage VMware workloads on-premises or even those running in other clouds. With this adaptive approach, Azure becomes your new unified IT operations center with access to any Azure service you need now or in the future. 

Get started with the VMware Rapid Migration Plan  

With the VMware Rapid Migration Plan, Microsoft provides a comprehensive set of licensing benefits and programs to give you price protection and savings as you migrate to Azure VMware Solution.

Get price protection and savings 

Use Reserved Instances to lock in pricing for one, three or five years. We are happy to offer a 20% discount on Azure VMware Solution when you purchase a new one-year Reserved Instance before December 31, 2024. The five-year Reserved Instance for Azure VMware Solution is only available for a limited time and access ends on June 30, 2024.

Save with existing Windows Server and SQL Server licenses 

Windows Server and SQL Server commonly run on VMware environments. With a purchase of Software Assurance, you can run cloud versions of Windows Server and SQL Server in Azure VMware Solution without any additional licensing costs. And you get free Extended Security Updates for older versions that face end of life. 

Get migration assistance 

Use Azure Migrate and Modernize to get resources, expert help, and funding for a streamlined migration.  

Get Azure credits to modernize 

When you buy a new Reserved Instance for Azure VMware Solution, you can get an additional Azure credit of up to $120,000*. Use this for Azure VMware Solution, or consider using it for other Azure services to help you optimize and modernize in the cloud.

Source: microsoft.com

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