EAR

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Up to 50% Energy Optimization

for AI

& HPC Workloads

Power is expensive, finite, and heavily regulated. EAR - Energy Aware Runtime, is a system software that helps AI and HPC data centers achieve more performance per watt by optimizing energy use in real time.

  • What we do

Unlock More Performance Per Watt

As HPC and AI workloads grow, so does their energy demand. Data centers need smarter tools to gain efficiency, not just in hardware, but in how systems run.

EAR (Energy Aware Runtime) is a software that monitors, analyzes, and dynamically optimizes your infrastructure in real time. It connects workloads, servers, and cooling systems to gain energy you didn’t know you had.

Designed for AI factories and HPC data centers, EAR helps you:

Monitoring & Analysis

⇨ Power, Energy, CO2, Temperature at system and job level.
⇨ CPU and GPU Performance metrics
⇨ Hints for better resource utilization

Energy Optimization

⇨ Reduce Electricity Bill, OPEX, TCO and CO2.
⇨ Increase Performance per Watt, up to 50% of energy gains
⇨ Report energy saved and potential energy savings

Smart Power Capping

⇨ Maintain DC power/energy within a given limit.
⇨ Maximize Performance under a power limit
⇨ Eliminate power peaks

  • Working process

Turn Efficiency into a Competitive Advantage

Designed for AI factories and HPC data centers, EAR helps you:

How EAR Works

Designed for AI factories and HPC data centers, EAR helps you:

Holistic Monitoring: CPU, GPU, I/O, memory, cooling

Data Telemetry and analysis

Automatic Optimization: Up to 20% better performance per watt

Energy Hints & Manual Tuning: Reach up to a total of 50% energy savings

Smart Power Capping: Prevent overloads and power spikes

Visual Dashboards: Track energy and performance KPIs

  • Working process

Why Choose EAR?

  • Case Studies

Customer references

LRZ Super
MUC-NG

Reducing peak power from 3 MW to 2 MW with minimal performance loss on one of Europe’s most efficient supercomputers.

SURF
- Snellius

Partnering to explore software-driven energy efficiency for hybrid AI/HPC systems.

BSC –
MareNostrum 5

Optimizing energy usage on a 314 PFlops pre-exascale system across CPU and GPU partitions.

EDF
CRONOS

Gaining visibility and control of energy use by project, code, and user across 2 MW of internal HPC compute.

"We are fully satisfied that EAR meets our goal and by the quality of professional services that EAS is delivering."
Dr. Herbert Huber
Dr. Herbert HuberLRZ SuperMUC-NG
"This collaboration has opened new avenues for research on software-centric approaches for energy efficient computing. Policies for energy efficiency and sustainability of our infrastructures will have a big role to play in SURF's strategy in years to come. Hence this partnership is very valuable for us and our members"
Dr. Sagar Dolas
Dr. Sagar DolasProgram Lead – Future Computing & Networking, SURF Open Innovation Lab
"With more than 1 MW power consumption running HPL, EDF wanted to control and understand CRONOS energy consumption. We chose EAR software to analyze consumption by project, by code and by user. We are fully satisfied that EAR meets our goal and by the quality of professional services that EAS company is delivering".
Dr. Cyril Baudry
Dr. Cyril BaudryHigh Performance senior expert
  • A Team of Experts

Backed by Experts

EAR was co-developed with the Barcelona Supercomputing Center in 2016, and is already powering top European systems. We offer:

Trusted by Leading HPC Centers

Monthly Energy Insights

Once a month, we share practical insights on energy-efficient HPC and AI, real use cases, and product updates from EAR.