Israeli-American Partnership Develops Platform to Track True Energy Costs of AI Systems
Israeli company PowerPlug and U.S. firm Cirrus Nexus, supported by the BIRD Energy program, have developed a platform that provides organizations with a comprehensive view of energy consumption, costs, and carbon emissions across their entire computing infrastructure, including AI workloads. This innovation allows precise attribution of energy use to digital tasks, enhancing transparency and efficiency.
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- PowerPlug and Cirrus Nexus develop a platform to monitor energy use across entire computing environments.
- The system integrates endpoints, servers, data centers, and cloud services into one dashboard.
- It uniquely attributes energy consumption, costs, and emissions to specific digital workloads.
- The project is supported by the BIRD Energy program promoting Israeli-U.S. energy tech collaboration.
- Funding comes from the Israeli Ministry of Energy, Innovation Authority, and U.S. Department of Energy.
Israeli company PowerPlug and American firm Cirrus Nexus have collaborated to create a platform that monitors and analyzes energy consumption across organizational computing infrastructures. Supported by the BIRD Energy program, this system integrates data from employee endpoints, internal servers, data centers, and cloud services into a single dashboard displaying electricity use, costs, and carbon emissions.
Unlike existing solutions that focus solely on cloud, data centers, or endpoints, the new platform offers a unified view of the entire computing environment. This enables organizations to attribute energy consumption, expenses, and emissions to specific digital workloads for the first time.
The BIRD Energy initiative promotes joint development of innovative energy technologies between Israeli and U.S. companies and research centers. It is funded by the Israeli Ministry of Energy, the Innovation Authority, and the U.S. Department of Energy.
This collaboration aims to provide companies with comprehensive insights into their energy usage, helping them better understand the true environmental and financial costs of AI and digital operations.
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