Gartner predicts that by 2027, 70% of enterprises adopting generative AI will choose public cloud generative AI services as the primary criterion

Gartner predicts that by 2027, 70% of enterprises adopting generative AI will regard sustainability and digital sovereignty as the primary criteria for selecting public cloud generative AI services.

Cloud technology will remain the best choice for delivering generative AI applications at scale

Sid Nag, research vice president at Gartner , said: "Cloud technology has become the first choice for delivering generative AI applications at scale and developing common underlying models because of its scale and shared services model. But for organizations to put generative AI into operations, they must Certain aspects must be addressed, such as digital sovereignty (the ability to control where data is stored and where operations are performed) and sustainability issues.”

The role of digital sovereignty in public cloud decision-making

Fundamental models (FM) and large language models (LLM) are the core of generative AI capabilities, and their development is driving the rapid and continuous evolution of generative AI capabilities and use cases. Enterprises using generative AI will face huge regulatory challenges. The data contained in LLM and the applications using these FM and LLM will be regulated.

Nag said: "As organizations expand their cloud operations to various locations and use cases, specialized cloud providers will become an important consideration in many enterprise cloud architectures. Digital sovereignty will drive the demand for cloud providers, but these clouds provide Businesses must be able to meet the ever-changing and unique sovereign business requirements no matter where they are located."

The role of sustainability in public cloud decisions

Given the scale of infrastructure required, organizations deploying generative AI services will need to use the public cloud and will also have to ask cloud providers to address non-technical issues related to sustainability.

Sustainability pressure from investors, customers, regulators and governments is forcing organizations to manage and optimize their IT carbon emissions to achieve their environmental sustainability goals. They will introduce new processes, capabilities and tools to monitor and manage the energy consumption and carbon emissions of generative AI workloads deployed in the cloud.

Nag said: “Cloud computing plays a pivotal role in advancing sustainable development and generative AI business applications by providing scalable infrastructure, enabling environmentally friendly practices, and enabling cost-effective resource management. Therefore, When most IT leaders fully adopt generative AI, they will rely on cloud platforms to support their sustainable development journey."