TL;DR:
- Microsoft reaffirms its leadership in the Distributed Hybrid Infrastructure market, standing alongside VMware, Oracle, and AWS.
- Azure technologies like Stack HCI, AKS, and Azure Arc are empowering global organizations, including SKF, Carnival, and COOP.
- Microsoft demonstrates its prowess in training large language models (LLMs) with exceptional efficiency and minimal latency.
- Azure AI offers a diverse model catalog, enabling developers to leverage foundation models from renowned providers.
- Microsoft earns recognition as a FinOps Certified Service Provider, aligning with the FinOps Framework to optimize cloud costs.
Main AI News:
In the latest edition of our Magic Quadrant for Distributed Hybrid Infrastructure, Microsoft has once again secured its position as a Leader. Gartner, the renowned analyst firm, has recognized Microsoft’s commitment to providing a comprehensive suite of edge-to-cloud tools, including Azure Arc, AKS, and Stack HCI. In the assessment, Microsoft stands shoulder-to-shoulder with industry giants like VMware, Oracle, and AWS.
Leading global organizations such as SKF, Carnival, and COOP have harnessed the power of Azure technologies to streamline their global operations. Leveraging solutions like Stack HCI with machine learning, SQL managed instance, PostgreSQL, and AKS, these companies are poised for unprecedented success in today’s dynamic business landscape.
Kushal Datta, Principal Software Engineer at Microsoft, along with a team of co-authors, sheds light on the pivotal role played by Microsoft in empowering large language models (LLMs). Notably, a GPT-3 LLM model with a staggering 175 billion parameters was recently trained to completion in a mere four minutes, utilizing 1,344 ND H100 v5 VMs. Dutta emphasizes that the Azure ND H100 v5-series, designed for superior performance, scalability, and adaptability, offers unparalleled throughput and minimal latency for both training and inferencing tasks in the cloud. This infrastructure is undoubtedly the gold standard for AI endeavors.
In the realm of artificial intelligence, CVP Gregory Buehrer elaborates on the enterprise large language model lifecycle. Azure AI boasts an extensive model catalog, empowering developers to select and deploy foundation models from reputable providers like Hugging Face, OpenAI, and Meta. Buehrer outlines various development “loops,” encompassing ideation, construction, operationalization, and management, to guide businesses on their AI journey.
Joseph Marino, a distinguished Modern Services Management Solution Architect, proudly announces Microsoft’s new status as a FinOps Certified Service Provider. The FinOps Framework was specifically devised to optimize cloud costs, and Microsoft is fully committed to supporting its customers throughout the entire service lifecycle. Whether you are a Unified Enterprise Support customer, benefiting from Proactive Services, or a Microsoft Industry Solutions Delivery (ISD) customer, undergoing modernization and enabling innovation for the Microsoft cloud, rest assured that we are here to provide the expertise and guidance needed to achieve your FinOps goals.
Conclusion:
Microsoft’s continued dominance in distributed hybrid infrastructure, coupled with its remarkable achievements in large language models and AI, positions the company as a key market influencer. Its commitment to cost optimization through FinOps certification underscores its dedication to providing comprehensive solutions. Businesses across industries should take note of Microsoft’s innovations as they shape the future of the market.
