AI helps organizations in nearly every industry increase productivity, engage customers, realize operational efficiencies, and gain a competitive edge. Advances in supercomputing within the cloud and the power to realize processing at an exascale level are major catalysts for this latest 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 corporations are deep into their AI journey, delivering advanced AI-enabled services and products, but many businesses are on the early stages and are combating where and how one can best apply AI of their business. AI is complex, requiring latest skills, tools, and technologies.

To speed up AI development and integration, organizations can profit from a trusted partner that has AI expertise across the whole technology stack. The correct AI solution provider may also help determine the very best AI strategy for a corporation’s specific business model and supply comprehensive, unified services, advanced infrastructure, and tools specifically designed for AI.

Corporations internationally are turning to Microsoft to assist them transform their business with progressive, secure, and responsible AI. On the forefront of artificial intelligence, Microsoft has delivered cutting-edge advances in vision, speech, language, decision-making, machine learning, and supercomputing infrastructure for greater than 30 years. Hear how Microsoft AI solutions are helping organizations world wide achieve more within the video below.

Accelerating AI application development

Microsoft recently unveiled one more round of AI services that may also help businesses speed up AI production, whether by adding intelligence to existing applications and processes or creating latest ones from scratch. These latest services include the next:

• 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, construct, test, and deploy AI solutions using state-of-the-art AI tools and machine learning models, all grounded in responsible AI practices. Developers can construct 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 most recent advancements in generative AI for content creation, conversational AI, and data grounding.
• Latest GPT-4 Turbo in Azure OpenAI provides a breakthrough with lower pricing, prolonged prompt length, and structured JSON formatting, delivering improved efficiency and control.
• GPT-4 Turbo with Vision is a brand new large multimodal model (LMM) developed by OpenAI that may analyze images and videos and supply textual responses to questions on them.
• DALL·E 3 is the most recent 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 can be 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 because the number-one cloud within the Top500 List of the world’s supercomputers and powered innovations like a brand new battery material. AI trailblazers are constructing and training essentially the most sophisticated models on the planet on Microsoft Azure AI infrastructure.

Listed here are a few 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, akin to OpenAI models, Bing, GitHub Copilot, and ChatGPT. Azure Cobalt is a cloud-native chip optimized for performance, power efficiency, and cost-effectiveness.
• Latest Azure Boost enables greater network and storage performance at scale, improves security, and reduces servicing impact for specialised AI clusters or  general-purpose compute workloads.
• Microsoft copilot for Azure simplifies operations and management with an AI companion that may also help users design, operate, optimize, and troubleshoot infrastructure from cloud to edge.
• Latest 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 may even add the most recent NVIDIA H200 Tensor Core GPU to its fleet to support larger model inferencing with no increase in latency.
• NVIDIA AI foundry service supercharges the event and tuning of custom generative AI applications for enterprises and startups deploying on Microsoft Azure.

Experience these advancements at NVIDIA GTC

Corporations can experience Microsoft’s latest AI services and technologies and learn how one can power their AI transformation on 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 among the world’s largest and most complex AI models and applications.
• Discover how one can speed up the delivery of generative AI and enormous language models (LLMs).
• Explore how Azure AI studio and purpose-built cloud infrastructure can speed up AI development and deployment.
• Learn from best practices and customer experiences to hurry AI production.

Featured sessions

• S63275 Power Your AI Transformation with the Microsoft Cloud
• S63277 Unlocking Generative AI within 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 total list of Microsoft sessions at NVIDIA GTC.