We would like to keep you up to date with the latest news from MSP Channel Insights by sending you push notifications.
Digital Newsletter
Each week our editor Phil Alsop rounds up the most popular articles, videos and expert opinions. We compile this into a Digital Newsletter and send it straight to your inbox every week.
Digital Magazines
We'll let you know each time a new edition of MSP Channel Insights is released so that you're always kept up-to-date with the latest and greatest news and press releases.
Video Magazines
The MSP Channel Insights Video magazine contains the latest Zoom interviews with experts in the industry.
Current data center switch market spending is on front-end networks used primarily to connect general-purpose servers. AI workloads will require a new back-end infrastructure buildout. The competition intensifies between InfiniBand and Ethernet as manufacturers vie for market dominance in AI back-end networks. While InfiniBand is expected to maintain its lead, Ethernet is forecast to make substantial gains, such as 20 revenue-share points by 2027.
“Generative AI applications usher in a new era in the age of AI, standing out for the sheer number of parameters that they have to deal with,” said Sameh Boujelbene, Vice President at Dell’Oro Group. “Several large AI applications currently handle trillions of parameters, with this count increasing tenfold annually. This rapid growth necessitates the deployment of thousands or even hundreds of thousands of accelerated nodes. Connecting these accelerated nodes in large clusters requires a data center-scale fabric, known as the AI back-end network, which differs from the traditional front-end network used mostly to connect general-purpose servers.
“This predicament poses the pivotal question: what is the most suitable fabric that can scale to hundreds of thousands and potentially millions of accelerated nodes while ensuring the lowest Job Completion Time (JCT)? One could argue that Ethernet is one speed generation ahead of InfiniBand. Network speed, however, is not the only factor. Congestion control and adaptive routing mechanisms are also important. We analyzed AI back-end network build-outs by the major Cloud Service Providers (such as Google, Amazon, Microsoft, Meta, Alibaba, Tencent, ByteDance, Baidu, and others) as well as various considerations driving their choices of the back-end fabric to develop our forecast,” continued Boujelbene.
Additional highlights from the AI Networks for AI Workloads Report:
AI networks will accelerate the transition to higher speeds. For example, 800 Gbps is expected to comprise the majority of the ports in AI back-end networks by 2025, within just two years of the latest 800 Gbps product introduction.
While most of the market demand will come from Tier 1 Cloud Service Providers, Tier 2/3 and large enterprises are forecast to be significant, approaching $10 B over the next five years. The latter group will favor Ethernet.
