Why AI-Ready Infrastructure Will Depend on More Than GPUs and Compute: Praruh Technologies CTO
As enterprises accelerate AI adoption, the infrastructure supporting these workloads is coming under greater pressure, from networks and data centres to cloud, edge and cybersecurity. AI workloads demand higher bandwidth, lower latency, greater visibility, and more efficient movement of data, while also expanding the attack surface. In this interview with CiOL,Amardeep Sharma, CTO & Director, Praruh Technologies, discusses what it will take to build AI-ready enterprise infrastructure, how network architecture is evolving, where AI can improve network operations, and the infrastructure challenges India will face as AI scales.
As enterprises move towards AI and cloud, what has fundamentally changed in infrastructure? Are existing networks equipped to support AI at scale?
The fundamental shift is that enterprise infrastructure is no longer designed primarily around users and applications. It increasingly has to be designed around data, workloads, and real-time connectivity.
AI workloads are significantly more data-intensive, with large volumes moving...
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