Rackspace Technology, an end-to-end hybrid cloud and AI solutions company, announced that the Science Based Targets Initiative (SBTi) has approved its near-term, long-term and net-zero emissions reduction goals.
The company’s targets include a commitment to cut emissions by 50% by 2032 and 90% by 2045 to meet net-zero carbon emissions goals. These targets are benchmarked to 2023 and allows Rackspace to offer customers a rigorous framework that is independently validated and supported by clear, measurable metrics that align with the company’s sustainability objectives.
Global energy consumption from data centers is projected to more than double by 2030, with AI as a leading driver of demand. As a result, companies are facing increasing regulatory pressure, such as the EU’s Corporate Sustainability Reporting Directive, to disclose and reduce their carbon emissions tied to energy use across their supply chain. Rackspace currently powers approximately 80% of its global data centers with renewable energy and is advancing its efforts to reach 100% through strategic partnerships.
“SBTi’s validation of our net-zero targets is a significant milestone in Rackspace’s decarbonization journey,” said Srini Koushik, President AI, Technology, and Sustainability at Rackspace Technology, in a statement. “Cloud services and digital infrastructure are among the most significant factors in organizations’ supply chain and Scope 3 emissions. By setting and making progress against aggressive sustainability goals, we are not only minimizing our own environmental impact but also helping our customers to achieve theirs, without sacrificing performance.”
Rackspace customers are achieving reductions in their cloud carbon footprint through the company’s Workload Aware Modernization program, which identifies wasted cloud resources while improving environmental sustainability. The comprehensive assessments enable organizations to eliminate underutilized infrastructure, reduce idle usage, and transition to more sustainable cloud architectures. By adopting serverless computing, cloud-native solutions, and automated resource management, customers can dramatically cut both costs and environmental impact while modernizing their technology stack.