Green IT/ ESG

With the rise of Environmental, Social, and Governance (ESG) concerns, data centers and their users are seeking ways to reduce energy consumption, lower carbon emissions, and improve their ESG performance. While some focus on sourcing green electricity, like AmazonMicrosoft, and Google, most prioritize optimizing server over-capacity and underutilization.

Federator.ai helps data centers save up to 50% on energy costs while enhancing application sustainability and meeting ESG requirements. It leverages data from servers, storage systems, network devices, and power distribution units to provide actionable insights, enabling informed decisions on resources and energy usage.  By identifying wasted computing resources and recommending efficient allocation of compute instances for machine learning applications, Federator.ai reduces energy consumption, carbon footprint, and operating costs, helping data centers achieve their sustainability goals.

ProphetStor's Energy Efficiency and Planning Solution for Data Center Operations

Save energy consumption and less cooling in data center by hibernating

Collect workload data using software sensors, then provide recommendations and execute power and cooling consumption adjustments accordingly

Increase Energy Efficiency and Sustainability

Increase Energy Efficiency and Sustainability

Utilize real-time monitoring and analysis to identify areas for improvement, reduce energy consumption, and support reinvestment in sustainability initiatives.

Maximize Cost Savings through Accurate Energy Forecasts

Maximize Cost Savings through Accurate Energy Forecasts

Leverage machine learning algorithms for accurate energy consumption forecasts, providing detailed reports to identify waste and actionable steps to reduce energy bills.

Facilitate Effective Management with Timely Adjustment

Facilitate Effective Management with Timely Adjustment

Offer a comprehensive view of energy consumption and real-time alerts, enabling data center operators to seize energy-saving opportunities.

Deliver Targeted Recommendations for Energy Reduction

Provide specific recommendations for energy efficiency, from adjusting server room temperatures to reconfiguring network infrastructure.

Monetize Excess Carbon Savings as Additional Revenue Stream

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

Monetize Excess Carbon Savings as Additional Revenue Stream

Capitalize on regional carbon policy variations 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, says Federator.ai provides operation resilience, operation reduction and Green IT.
Using Federator.ai’s ML-based resource recommendation engine allows us to provision our VM resources for operation resilience more accurately. Its benefits of reducing operational costs while making progress toward a low-carbon IT infrastructure at the same time.

Chung-Shuo Lin
Managing Director of Chunghwa Telecom Cloud System Department

Optimizing VM Resources for Green IT: A Case Study with Chunghwa Telecom and ProphetStor Federator.ai
Chung-Shuo Lin, managing director of Chunghwa Telecom, says Federator.ai provides operation resilience, operation reduction and Green IT.
Optimizing VM Resources for Green IT: A Case Study with Chunghwa Telecom and ProphetStor Federator.ai
See Case Study

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
Multi-layer Correlation Analysis of IT and Facilities
Time-series Prediction for Workload and Power
Time-series Prediction for Workload and Power
Application-aware and Workload-sensible IT Operations for Energy Efficiency
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

Please select the software you would like a demo of:

Federator.ai GPU Booster ®

Maximizing GPU utilization for AI workloads and doubling your server’s training capacity

Federator.ai ®

Simplifying complexity and continuously optimizing cloud costs and performance