July 14, 2022
Environmental Sustainability and Governance (ESG) metrics are becoming increasingly important in our customer's strategic objectives reflecting the growing awareness amongst consumers, governments, and the business world. In addition, it is well understood that businesses have a commercial need to focus on these metrics as sustainability becomes more important to consumers buying decisions.
Most data center facilities consume up to 10 to 50 times the energy per floor space of a typical commercial office building. Therefore, an energy-efficient IT solution is essential to achieving carbon footprint reduction for many organizations. An energy-efficient data center design seeks to address all aspects of carbon footprint savings, from its IT hardware, heating, ventilation, and air conditioning equipment to its physical layout and construction.
Join IBM to learn how the consolidation of data and applications onto a centralized servers infrastructure such as IBM LinuxONE can contribute to a more environmentally sustainable IT environment and fewer greenhouse gas emissions. Running workloads on IBM LinuxONE can also reduce server administration and other data center costs by offering a smaller physical server footprint.
We will also discuss the results of recent carbon footprint assessments completed for IBM clients to quantify energy reduction and greenhouse gas (GHG/CO2) emission metrics.
IBM has had long-standing corporate policies to protect the environment and conserve energy and natural resources. The IBM Product Design for the Environment (DfE) program was established in 1991 to focus on product environmental design. IBM LinuxONE is a transformed system designed for overall data center sustainability as one of the outcomes of this work.
We will discuss best practices for reducing electricity consumption in a datacenter, including:
IBM LinuxONE helps support data center sustainability initiatives. Customers adopting this platform experience single-system performance with a reduced energy consumption of 50% versus x86 systems running similar workloads.