With the rise of Environmental, Social, and Governance (ESG), data centers and their end-users are looking for ways to reduce energy consumption, lower carbon emissions, and improve their ESG performance. Some may focus on Green electricity sourcing, like Amazon, Microsoft, and Google do, most are focusing on optimizing over-capacity and underutilization of servers and computing resources.
Federator.ai can help data centers save up to 50% on energy costs, while also improving application sustainability and meeting ESG requirements. Federator.ai can leverage data from various sources within the data center, including servers, storage systems, network devices, and power distribution units and create a comprehensive approach to provide accurate and actionable insights that enable data center operators to make informed decisions about their resources and energy usage. By identifying wasted computing resources and recommending a more efficient allocation of compute instances for machine learning applications, Federator.ai offers an effective solution for data center operators to reduce energy consumption, carbon footprint, and operation costs, and ultimately achieve their sustainability goals.
ProphetStor's Energy Efficiency and Planning Solution for Data Center Operations
Collect workload data using software sensors, then provide recommendations and execute power and cooling consumption adjustments accordingly
Increase Energy Efficiency and Sustainability
Employing real-time monitoring and analysis of energy consumption to identify areas for improvement, reduce energy consumption, and motivate reinvestment in further sustainability initiatives for environmental protection.
Maximize Cost Savings through Accurate Energy Forecasts
Using machine learning algorithms to provide accurate energy consumption forecasts, with detailed energy consumption reports identifying areas of waste, and actionable ahead moves to save energy bills.
Facilitate Effective Management with Timely Adjustment
Providing a comprehensive view of energy consumption and in-time alerts for data center operators to take advantage of potential energy savings opportunities in real time.
Deliver Targeted Recommendations for Energy Reduction
Offering specific recommendations for energy efficiency, from simple changes, like adjusting temperature in a server room, to more complex ones, like reconfiguring the network infrastructure.
Monetize Excess Carbon Savings as Additional Revenue Stream
Capitalizing on regional variations in carbon policies by selling carbon credits to enterprises or data centers in areas with higher carbon pricing on the carbon market.
Monetize Excess Carbon Savings as Additional Revenue Stream
Capitalizing on regional variations in carbon policies by selling carbon credits to enterprises or data centers in areas with higher carbon pricing on the carbon market.
Chung-Shuo Lin
Managing Director of Chunghwa Telecom Cloud System Department
ProphetStor Helps Both Data Center Operators and Users Achieve Green IT
Federator.ai requires no additional sensors/data collections because it leverages the software sensors/agents to acquire operation metrics from the integrated monitoring services, , which makes true Green AI.
The features of Federator.ai help Green journey with data-driven Intelligence:
Multi-layer Correlation Analysis of IT and Facilities
Time-series Prediction for Workload and Power
Application-aware and Workload-sensible IT Operations for Energy Efficiency
For Data Center Operators
- Application-aware Smart Online Planning and Consolidation for saving energy
- Federator.ai will help save data center operation costs by up to 70% and improve operation efficiency by up to 90%
For Data Center Users
- Just-In-Time Fitted Resource requests optimize the performance and eliminate over-provisioned waste
- Federator.ai minimizes idle resources by up to 35% and recommends optimal purchase scenarios, which achieve overall 35%~90% savings in cloud operations