New infrastructure for the era of AI: Emerging technology and trends in 2024 – Microsoft
This is part of a larger series on the new infrastructure of the era of AI, highlighting emerging technology and trends in large-scale compute. This month, we’re sharing the 2024 edition of the State of AI Infrastructure report to help businesses harness the power of AI now.
The era of AI is upon us. You’ve heard about the latest advancements in our technology, the new AI solutions powered by Microsoft, our partners, and our customers, and the excitement is just beginning. To continue the pace of these innovations, companies need the best hardware that matches the workloads they are trying to run. This is what we call purpose-built infrastructure for AI—it’s infrastructure that is customized to meet your business needs. Now, let’s explore how Microsoft cloud infrastructure has evolved to support these emerging technologies.
An annual report on trends and developments in AI infrastructure based on Microsoft commissioned surveys conducted by Forrester Consulting and Ipsos
2023 brought huge advancements in AI infrastructure. From new virtual machines to updated services, we’ve paved the way for AI advancements that include custom-built silicon and powerful supercomputers.
Some of the highlights of Microsoft AI infrastructure innovations in 2023 include:
2024 is shaping up to be an even more promising year for AI than its predecessor. With the rapid pace of technological advancements, AI infrastructure is becoming more diverse and widespread than ever before. From cloud to edge, CPUs to GPUs, and application-specific integrated circuits (ASICs), the AI hardware and software landscape is expanding at an impressive rate.
To help you keep up with the current state of AI, its trends and challenges, and to learn about best practices for building and deploying scalable and efficient AI systems, we’ve recently published our Microsoft Azure: The State of AI Infrastructure report. The report addresses the following key themes:
To drive major AI innovation, companies must overcome many challenges at a breakneck pace. Our insights in The State of AI Infrastructure report underscore the need for a strategic approach to building and maintaining AI infrastructure that is agile, scalable, and capable of adapting to the latest technological advancements. By addressing these infrastructure challenges, companies can ensure they have a solid foundation to support their AI strategies and drive innovation.
#AIInfraMarketPulse
The future of AI starts here. Envision your next great AI app with the latest technologies. Get started with Azure.
Connect with us on social
This article was autogenerated from a news feed from CDO TIMES selected high quality news and research sources. There was no editorial review conducted beyond that by CDO TIMES staff. Need help with any of the topics in our articles? Schedule your free CDO TIMES Tech Navigator call today to stay ahead of the curve and gain insider advantages to propel your business!
The era of AI is upon us. You’ve heard about the latest advancements in our technology, the new AI solutions powered by Microsoft, our partners, and our customers, and the excitement is just beginning. To continue the pace of these innovations, companies need the best hardware that matches the workloads they are trying to run. This is what we call purpose-built infrastructure for AI—it’s infrastructure that is customized to meet your business needs. Now, let’s explore how Microsoft cloud infrastructure has evolved to support these emerging technologies.
An annual report on trends and developments in AI infrastructure based on Microsoft commissioned surveys conducted by Forrester Consulting and Ipsos
2023 brought huge advancements in AI infrastructure. From new virtual machines to updated services, we’ve paved the way for AI advancements that include custom-built silicon and powerful supercomputers.
Some of the highlights of Microsoft AI infrastructure innovations in 2023 include:
2024 is shaping up to be an even more promising year for AI than its predecessor. With the rapid pace of technological advancements, AI infrastructure is becoming more diverse and widespread than ever before. From cloud to edge, CPUs to GPUs, and application-specific integrated circuits (ASICs), the AI hardware and software landscape is expanding at an impressive rate.
To help you keep up with the current state of AI, its trends and challenges, and to learn about best practices for building and deploying scalable and efficient AI systems, we’ve recently published our Microsoft Azure: The State of AI Infrastructure report. The report addresses the following key themes:
To drive major AI innovation, companies must overcome many challenges at a breakneck pace. Our insights in The State of AI Infrastructure report underscore the need for a strategic approach to building and maintaining AI infrastructure that is agile, scalable, and capable of adapting to the latest technological advancements. By addressing these infrastructure challenges, companies can ensure they have a solid foundation to support their AI strategies and drive innovation.
#AIInfraMarketPulse
The future of AI starts here. Envision your next great AI app with the latest technologies. Get started with Azure.
Connect with us on social
This article was autogenerated from a news feed from CDO TIMES selected high quality news and research sources. There was no editorial review conducted beyond that by CDO TIMES staff. Need help with any of the topics in our articles? Schedule your free CDO TIMES Tech Navigator call today to stay ahead of the curve and gain insider advantages to propel your business!
