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Alternative cloud providers increasingly meet agentic AI demands
As AI workload types shift from training to inference and grow in complexity, AI teams are increasingly turning to alternative cloud providers, with 48% of transformational-level respondents using alternative clouds versus 16% of operational-level teams. This shift also occurs as enterprises seek to complement raw infrastructure with expertise. Constant silicon advancements and a rapidly-changing AI ecosystem necessitate a partner that can help guide the enterprise through their agentic AI roadmap.
Security and compliance, transparency, cost-effectiveness, and avoiding vendor lock-in are also top priorities for enterprises in the agentic AI age, helping explain why 41% of all respondents are using alternative clouds and 38% are piloting or evaluating them – with just 3% staying on the sidelines.
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AI Maturity Report 2026 and Webinar: New Priorities of Agentic AI Drive Migration to Alternatives
As enterprises capitalize on agentic AI, flexibility, networking, and compute become core architectural requirements
Enterprise AI success is no longer just about raw GPU acceleration. Organizations that are seeing measurable impact from agentic AI deployments are the ones prioritizing infrastructure flexibility, high-speed connectivity, and strategic partnerships.
451 Research by S&P Global’s 2026 AI Maturity Report, commissioned by Vultr, spotlights the industry-wide trend toward AI investment, production-ready deployments, and cloud migration, which Chief Analyst Eric Hanselman and Vultr CMO Kevin Cochrane analyze in a joint webinar. They discuss why enterprises taking this proactive approach to agentic AI are already reaping the rewards relative to their lagging peers – and how yours can do the same.
