Ethernetics develops an AI-driven Smart Power Distribution Unit (PDU) that monitors and optimizes electricity consumption at the server socket level in data centers, addressing the significant energy inefficiencies that contribute to rising operational costs and carbon emissions. By providing real-time adjustments and detailed reporting, the technology enables energy savings of up to 12.5%, helping data centers meet regulatory demands for reduced carbon footprints by 2030.
Funding
$2.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Data centers consume a significant and growing amount of electricity, contributing to rising operational costs and increased carbon emissions. Inefficiencies in power distribution and server utilization exacerbate this problem, making it difficult for data centers to meet increasingly stringent regulatory demands for carbon footprint reduction.
Solution
Ethernetics offers an AI-driven Smart Power Distribution Unit (PDU) that optimizes electricity consumption at the server socket level within data centers. The PDU employs patented measurement techniques to monitor power consumption and harmonic distortion, enabling real-time adjustments to correct load imbalance and address server idleness. By measuring, reacting, and communicating energy usage and savings, the Ethernetics decarbonization platform facilitates energy savings of up to 12.5%. The PDU's modular design allows for easy replacement or addition of plugs, preventing overinvestment.
Target Audience
Ethernetics primarily serves telco providers, high-performance computing (HPC) centers, and cloud providers seeking to reduce energy consumption and meet decarbonization goals.
Features
- Ultra-high quality measurement of power consumption, inefficiencies, and distortions at the outlet level
- Real-time adjustment of power inefficiencies, load imbalance, and idleness
- Reporting on energy consumption and savings per server, as well as aggregated kWh and CO2 savings
- Automatic detection and real-time restoration of load imbalance between servers in a rack
- Automatic power supply on/off management for servers
- AI-driven detection of idle server patterns (pure idle, near idle, and cyclic idle)
- Modular PDU design for easy plug replacement or addition