About this course
Course Overview
Data Centres and ancillary infrastructure are critical capital assets in the AI era and provide essential resources and services to Big Tech firms and other players in global AI value chains. The sheer quantum of required financing, which is being provided in large part by private capital investors and banks co-investing with AI “hyperscalers”, has been estimated to be around $3Tn globally by 2029.
Data Centre facility development is complex, requiring ancillary services and resources including significant power and water supply as well as funding for development, construction and equipment – including graphics processing units (GPU) – procurement and installation. In addition, the majority of Data Centre developers and users have high ESG and sustainability standards, further increasing the intricacy of projects. Given this complexity, in addition to the large scale of Data Centre facility funding, financial structures designed to fulfil development financing needs whilst meeting the requirements and expectations of bank lenders and investors are based around structured finance, asset-based lending, private equity and debt in addition to bank credit provision via syndications as well as bilateral facilities.
This comprehensive five-day programme comprises two modules providing delegates with a full understanding of the challenges relating to Data Centre development and their financing – including underlying development projects; structuring financing to meet the needs of Data Centre assets over their life-cycles; financial modelling; and risk management.
What you will learn
Who should attend?
- Structured Finance bankers
- Infrastructure investors
- Credit Analysts
- Legal professionals
- Financial Modellers
- Technology investors
- Specialist Real Estate financiers