Skip Navigation or Skip to Content

The Latency Tax: How Centralized Processing Is Costing Your AI Initiatives

Marco Zacchello

Jul 23 2025
As emerging AI use cases like autonomous vehicles, continuous health monitoring and real-time fraud analysis enter the mainstream, businesses increasingly need ultra-fast data processing close to where data is generated and used. Meanwhile, data privacy concerns, data sovereignty laws and other regulations are motivating them to keep data as close as possible to the source. With the rapid growth of AI as an essential enterprise technology, companies have begun recognizing the importance of edge deployments in their overall IT architecture. Those that have relied on the cloud or an on-premises data center are experiencing the limitations of centralized processing models…

The post The Latency Tax: How Centralized Processing Is Costing Your AI Initiatives appeared first on Interconnections - The Equinix Blog.

阅读全文

由Marco Zacchello在Jul 23 2025发布

Join the Equinix Talent Network

不是你?

我们已通过电子邮件向您发送验证码以验证您的身份。如果您没有在收件箱中收到电子邮件,请检查您的垃圾邮件/垃圾文件夹。

谢谢你!