AI is helping organizations in nearly every industry increase productivity, engage customers, realize operational efficiencies, and gain a competitive edge. Advances in supercomputing in the cloud and the ability to achieve processing at an exascale level are major catalysts for this new era of AI innovation.
Common AI use cases today include personalized healthcare and targeted therapies, virtual assistants and chatbots, financial fraud detection, predictive maintenance, autonomous cars and machinery, energy management, and accelerated scientific discoveries.
Some companies are deep into their AI journey, delivering advanced AI-enabled products and services, but many businesses are at the early stages and are struggling with where and how to best apply AI in their business. AI is complex, requiring new skills, tools, and technologies.
To accelerate AI development and integration, organizations can benefit from a trusted partner that has AI expertise across the complete technology stack. The right AI solution provider can help determine the best AI strategy for a company’s specific business model and provide comprehensive, unified services, advanced infrastructure, and tools specifically designed for AI.
Discover the latest AI technologies. Join Microsoft at the NVIDIA GTC AI Conference March 18–21. Learn more.
Companies across the world are turning to Microsoft to help them transform their business with innovative, secure, and responsible AI. At the forefront of artificial intelligence, Microsoft has delivered cutting-edge advances in vision, speech, language, decision-making, machine learning, and supercomputing infrastructure for more than 30 years. Hear how Microsoft AI solutions are helping organizations around the world achieve more in the video below.
Accelerating AI application development
Microsoft recently unveiled yet another round of AI services that can help businesses accelerate AI production, whether by adding intelligence to existing applications and processes or creating new ones from scratch. These new services include the following:
Azure AI Studio, now in preview, empowers organizations and developers to innovate with AI. The platform, accessibly and responsibly designed, provides a one-stop shop for developers to seamlessly explore, build, test, and deploy AI solutions using state-of-the-art AI tools and machine learning models, all grounded in responsible AI practices. Developers can build generative AI applications, including copilot experiences, using out-of-the-box and customizable tooling and models with built-in security and compliance.
Azure OpenAI Service offers industry-leading coding and language AI models and the latest advancements in generative AI for content creation, conversational AI, and data grounding.
New GPT-4 Turbo in Azure OpenAI provides a leap forward with lower pricing, extended prompt length, and structured JSON formatting, delivering improved efficiency and control.
GPT-4 Turbo with Vision is a new large multimodal model (LMM) developed by OpenAI that can analyze images and videos and provide textual responses to questions about them.
DALL·E 3 is the latest image generation model from OpenAI, featuring enhanced image quality, more complex scenes, improved performance when rendering text in images, and more aspect ratio options.
Powering AI workloads
Microsoft is also reimagining every aspect of their data centers to deliver the agility, power, scalability, and efficiencies AI workloads demand. Microsoft’s pioneering performance for AI has ranked them as the number-one cloud in the Top500 List of the world’s supercomputers and powered innovations like a new battery material. AI trailblazers are building and training the most sophisticated models in the world on Microsoft Azure AI infrastructure.
Here are some of Microsoft’s latest infrastructure advancements:
Custom-built silicon tailored for the Microsoft cloud offers optimized performance for AI and enterprise workloads. Azure Maia, an AI accelerator chip, is specifically designed to run cloud-based training and inferencing for AI workloads, such as OpenAI models, Bing, GitHub Copilot, and ChatGPT. Azure Cobalt is a cloud-native chip optimized for performance, power efficiency, and cost-effectiveness.
New Azure Boost enables greater network and storage performance at scale, improves security, and reduces servicing impact for specialized AI clusters or general-purpose compute workloads.
Microsoft copilot for Azure simplifies operations and management with an AI companion that can help users design, operate, optimize, and troubleshoot infrastructure from cloud to edge.
New Azure NC H100 v5 virtual machine series built with NVIDIA H100 Tensor Core GPUs provide greater memory per GPU, increasing performance for mid-range AI training and generative AI inferencing. Microsoft will also add the latest NVIDIA H200 Tensor Core GPU to its fleet to support larger model inferencing with no increase in latency.
NVIDIA AI foundry service supercharges the development and tuning of custom generative AI applications for enterprises and startups deploying on Microsoft Azure.
Experience these advancements at NVIDIA GTC
Companies can experience Microsoft’s latest AI services and technologies and learn how to power their AI transformation at the NVIDIA GTC AI Conference March 18 to 21 in San Jose, California (and virtually). Through in-person and on-demand sessions, live discussions, and hands-on training, attendees will
Get to know the core Azure AI services and technologies that power some of the world’s largest and most complex AI models and applications.
Discover how to accelerate the delivery of generative AI and large language models (LLMs).
Explore how Azure AI studio and purpose-built cloud infrastructure can accelerate AI development and deployment.
Learn from best practices and customer experiences to speed AI production.
Featured sessions
S63275 Power Your AI Transformation with the Microsoft Cloud
S63277 Unlocking Generative AI in the Enterprise with NVIDIA on Azure
S63274 The Next Level of GenAI with Azure OpenAI Service and Copilot
S63273 Deep Dive into Training and Inferencing Large Language Models on Azure
S63276 Behind the Scenes with Azure AI Infrastructure
Visit the conference schedule to view the full list of Microsoft sessions at NVIDIA GTC.
This content was produced by Microsoft Azure and NVIDIA. It was not written by MIT Technology Review’s editorial staff.
Register for NVIDIA GTC today and learn more about Azure AI and NVIDIA | Accelerated Computing in Microsoft Azure.