This is a component of a bigger sequence on the brand new infrastructure of the period of AI, highlighting rising expertise and traits in large-scale compute. This month, we’re sharing the 2024 version of the State of AI Infrastructure report to assist companies harness the facility of AI now.
The period of AI is upon us. You’ve heard concerning the newest developments in our expertise, the new AI options powered by Microsoft, our companions, and our prospects, and the thrill is simply starting. To proceed the tempo of those improvements, firms want one of the best {hardware} that matches the workloads they’re making an attempt to run. This is what we name purpose-built infrastructure for AI—it’s infrastructure that’s personalized to fulfill your online business wants. Now, let’s discover how Microsoft cloud infrastructure has developed to assist these rising applied sciences.
The State of AI Infrastructure
An annual report on traits and developments in AI infrastructure primarily based on Microsoft commissioned surveys carried out by Forrester Consulting and Ipsos
Looking again at Microsoft’s largest investments in AI infrastructure
2023 introduced enormous developments in AI infrastructure. From new digital machines to up to date providers, we’ve paved the best way for AI developments that embody custom-built silicon and highly effective supercomputers.
Some of the highlights of Microsoft AI infrastructure improvements in 2023 embody:
- Launching new Azure Virtual Machines powered by AMD Instinct and NVIDIA Hopper graphics processing models (GPUs), optimized for various AI and high-performance computing (HPC) workloads, comparable to giant language fashions, mid-range AI coaching, and generative AI inferencing.
- Introducing Azure confidential VMs with NVIDIA H100 GPUs—enabling safe and personal AI functions on the cloud.
- Developing custom-built silicon for AI and enterprise workloads, comparable to Azure Maia AI accelerator sequence, an AI accelerator chip, and Azure Cobalt CPU sequence, a cloud-native chip primarily based on Arm structure.
- Building the third strongest supercomputer on the earth, Azure Eagle, with 14,400 NVIDIA H100 GPUs and Intel Xeon Sapphire Rapids processors and attaining the second greatest MLPerf Training v3.1 document submission utilizing 10,752 H100 GPUs.
Understanding the state of AI and demand for brand new infrastructure
2024 is shaping as much as be an much more promising yr for AI than its predecessor. With the fast tempo of technological developments, AI infrastructure is turning into extra various and widespread than ever earlier than. From cloud to edge, CPUs to GPUs, and application-specific built-in circuits (ASICs), the AI {hardware} and software program panorama is increasing at a powerful charge.
To aid you sustain with the present state of AI, its traits and challenges, and to study greatest practices for constructing and deploying scalable and environment friendly AI techniques, we’ve just lately printed our Microsoft Azure: The State of AI Infrastructure report. The report addresses the next key themes:
- Using AI for organizational and private development
AI is revolutionizing the best way companies function, with an awesome 95% of organizations planning to broaden their utilization within the subsequent two years. Recent analysis commissioned by Microsoft highlights the function of AI in driving innovation and competitors. Beyond mandates, people inside these organizations acknowledge the worth AI brings to their roles and the success of their firms. IT professionals are on the forefront of AI adoption and use, with 68% of these surveyed already implementing it of their skilled work. But it doesn’t cease there—AI can also be getting used of their private lives, with 66% of these surveyed incorporating it into their every day routines.AI’s transformative potential spans throughout industries, from enhancing diagnostic accuracy in healthcare to optimizing customer support by clever chatbots. As AI shapes the way forward for work, it’s important for organizations to embrace its adoption to remain aggressive in an ever-evolving enterprise panorama.
- Navigating from AI exploration to implementation
The implementation of AI in companies remains to be in its early levels, with one-third of firms exploring and planning their method. However, a big section has progressed to pilot testing, experimenting with AI’s capabilities in real-world situations. They’re taking that subsequent essential step in direction of full-scale implementation. This section is essential because it permits companies to gauge the effectiveness of AI, tailor it to their particular wants, and establish any potential points earlier than a wider rollout.Because of this disparity in adoption, organizations have a singular alternative to distinguish themselves and acquire a aggressive benefit by accelerating their AI initiatives. However, many organizations might want to make vital tech and infrastructure adjustments earlier than they’ll absolutely leverage AI’s advantages. Those who can shortly navigate from exploration to implementation will set up themselves as leaders in leveraging AI for innovation, effectivity, and enhanced decision-making.
- Acknowledging challenges of constructing and sustaining AI infrastructure
To absolutely leverage AI’s potential, firms want to make sure they’ve a strong basis to assist their AI methods and drive innovation. Like the transportation business, a strong infrastructure to handle on a regular basis congestion is essential. However, AI infrastructure skilling stays the most important problem, each inside firms and within the job market. This problem is multifaceted, encompassing points such because the complexity of orchestrating AI workloads, a scarcity of expert personnel to handle AI techniques, and the fast tempo at which AI expertise evolves. These hurdles can impede a corporation’s means to totally leverage AI’s potential, resulting in inefficiencies and missed alternatives. - Leveraging companions to speed up AI innovation
Strategic partnerships play a pivotal function within the AI journey of organizations. As firms delve deeper into AI, they typically search out answer suppliers with deep AI experience and a monitor document of confirmed AI options. These partnerships are instrumental in accelerating AI manufacturing and addressing the complicated challenges of AI infrastructure. Partners are anticipated to help with a variety of wants, together with infrastructure design, coaching, safety, compliance, and strategic planning. As companies progress of their AI implementation, their priorities shift in direction of efficiency, optimization, and cloud supplier integration.Engaging the best companion can considerably expedite the AI journey for companies of any dimension and at any stage of AI implementation. This presents a considerable alternative for companions to contribute, however it additionally locations a accountability on them to make sure their workers is satisfactorily ready to offer consulting, technique, and coaching providers.
Discover extra
To drive main AI innovation, firms should overcome many challenges at a breakneck tempo. Our insights in The State of AI Infrastructure report underscore the necessity for a strategic method to constructing and sustaining AI infrastructure that’s agile, scalable, and able to adapting to the newest technological developments. By addressing these infrastructure challenges, firms can guarantee they’ve a strong basis to assist their AI methods and drive innovation.
References
#AIInfraMarketPulse