The growing adoption of AI is driving up infrastructure workloads

KAPIL RANA
ACCOUNT EXECUTIVE – ARCHITECTURE – CISCO INDIA & SAARC

“Cisco has created a complete ecosystem by partnering with Pure Storage, where the infrastructure – essentially the AI compute, the storage and the networking stack – everything is integrated. That helps our customers get a deep visibility and network observability into what is happening inside the infrastructure or how the entire AI workload is running. The good part is the entire ecosystem is well documented in a Cisco validated design.

AI today is changing everything in the industry and the world around us. This acceleration for AI adoption is also happening very fast. So we need a system which can respond to that speed and that requirement. Irrespective of the vertical and the size, every organization today is adopting AI in their day to day job and identifying new revenue streams. We have use cases with almost every vertical, be it health care, education, government, defense, and financial services, of using AI. This creates a lot of pressure as data centers today are not only catering to the traditional workload but they need to cater to your AI workload as well. The data centers, which were running traditionally on a seven or eight kW per rack power provisioning is not sufficient today. While we need to provision everything, we also have an opposing force in terms of the cost pressure from every organization and the business demand. Today's demands require AI to deploy and scale rapidly. At the same time, it's essential to address the evolving threat landscape, which expands alongside the growing use of AI. So, the design philosophy at Cisco is to cater to your secure AI data center needs through a unified approach which is secured and also scalable.”