OECD Network of Experts on AI (ONE AI)

The OECD Network of Experts on AI (ONE AI) provides policy, technical and business expert input to inform OECD analysis and recommendations. It is a multi-disciplinary and multi-stakeholder group.

Compute & Climate

Why focus on AI compute?

Alongside data and algorithms, AI computing capacity (“AI compute”) has emerged over recent years as a key enabler for AI and AI-enabled economic growth and competitiveness (Figure 1). While data and machine learning algorithms have received significant attention in policy circles at the OECD and beyond, the computational infrastructure that makes AI possible has been comparatively overlooked.  Since understanding domestic AI compute capacity is increasingly critical to formulating effective AI policies and informing national AI investments, the OECD is focusing efforts on this area in 2021.

Figure 1. AI Enablers

The creation of a ONE AI task force on AI compute late 2020 or early 2021 will help the OECD create a framework for understanding, measuring and benchmarking domestic AI computing supply by country and region. The task force will coordinate the broad engagement of key AI compute players and a data gathering exercise that ideally would be sustainable over time. This task force will also need to be mindful that the AI compute landscape is unusually dynamic with technical shifts on a frequent basis. To communicate about the outcomes of the OECD’s engagement in this domain, an interactive visualisation on OECD.AI could feature the work of the task force. The targeted focus of the ONE AI task force on AI compute complements the activities of the three ONE AI working groups.

Mr. Keith Strier, Vice President of Worldwide AI Initiatives at NVIDIA will co-chair the task force. Another co-chair with complementary expertise will be identified before the launch of the task force.

Task force participants include policy makers and entities in charge of public computing infrastructure as well as key industry players from: hardware providers; cloud service providers; original equipment manufacturers; academia engaged in AI compute; major data center operators; major consulting firms; and other experts on computing performance.

Participants