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Publication Date: 2026-03-05 06:46:00
As enterprises adopt container-first AI environments, partners are moving from infrastructure deployment to platform architecture, security and governance.
As enterprises accelerate AI adoption, they are reassessing whether existing infrastructure can support the scale and security demands of AI workloads. Running AI models requires significant data processing and the ability to operate across on-premises and cloud environments, pushing companies to prioritise modern hybrid infrastructure architectures.
“Over the next two years, AI applications will continue to attract strong interest, but the most consistent revenue opportunity for partners is likely to come from building the secure hybrid infrastructure that supports these workloads,” Harsh Vaishnav, senior director and head of channels, India, ASEAN and Hong Kong at Nutanix, told CRN India.
Organisations are in the early stages of preparing environments for AI, and infrastructure readiness remains a key challenge, said Vaishnav.
As enterprises scale AI initiatives, they will need modern platforms that can support data-intensive workloads while maintaining security and operational consistency.
He added that partners that focus on helping organisations build flexible, secure hybrid environments will be well-positioned for sustained growth, as these platforms form the…
