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Integration with IT primary challenge to scale Generative AI workloads
Nutanix, a provider in hybrid multicloud computing, announced findings of its seventh annual Enterprise Cloud Index, survey and research report, which measures global enterprise progress with cloud adoption. This year ' s report sheds light on Generative Artificial Intelligence adoption, investment priorities, and benefits along with key challenges organisations face to meet the demands of these emerging workloads.
In the Fall of 2024, UK researcher Vanson Bourne surveyed 1,500 IT and DevOps, Platform Engineering decision-makers around the world. The respondent base spanned multiple industries, business sizes, and geographies, including North and South America; Europe, Middle East and Africa; and Asia-Pacific- Japan region.
Running cloud native applications at enterprise scale requires an infrastructure that can support the necessary requirements including security, data integrity and resilience. Emerging Generative AI applications are no exception to this rule.
Almost all respondents, 98 % face challenges when it comes to scaling Generative AI workloads from development to production. In fact, the # 1 challenge organisations face when scaling Generative AI workloads from development into production is integration with existing IT infrastructure.
# 1 challenge when scaling Generative AI workloads from development into production is integration with existing IT infrastructure.
As a result, IT Infrastructure was chosen as the # 1 area of investment needed to support Generative AI.
Generative AI solution adoption requires changes to technology and people. 52 % of respondents say their organisation needs to invest in IT training to support Generative AI. Similarly, 48 % of respondents believe their organisation needs to hire new IT talent to support Generative AI.
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