Code Developement Engineer
Indexed description
Achieving Up to 50% Total Infrastructure Optimization for HPC & AI
Is power limiting your HPC and AI growth? EAR (Energy Aware Runtime) is a unified energy monitoring, optimization, and power management platform that addresses your data center's bottlenecks.
Proven at scale and trusted by leading institutes, our system software provides up to 20% energy savings and 30% more throughput—with over 21,562 servers and 23+ MW of power optimized across global customers like BSC, SURF, LRZ, and EDF.
- About
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.
Our tools and features helps you unlock stranded capacity and is designed to achieve your goals:
EAR Job & System Analytics
⇨ Power, Energy, CO2, Temperature at system and job level.
⇨ CPU and GPU Performance metrics
⇨ Hints for better resource utilization
EAR Optimizer
⇨ Reduce Electricity Bill, OPEX, TCO and CO2.
⇨ Increase Performance per Watt, up to 50% of energy gains
⇨ Report energy saved and potential energy savings
EAR Smart Power Cap
⇨ Maintain DC power/energy within a given limit.
⇨ Maximize Performance under a power limit
⇨ Eliminate power peaks
- Benefits
Into a Competitive Advantage
Designed for AI factories and HPC data centers, EAR helps you:
☑️ Maximize throughput
☑️ Cut energy waste
☑️ Improve resource utilization
☑️ Get more work from existing hardware
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
- Customer Use Cases
LRZ
SuperMUC-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.
"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 BaudryHigh Performance senior expert
"We are fully satisfied that EAR meets our goal and by the quality of professional services that EAS is delivering."
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 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 BaudryHigh Performance senior expert
"We are fully satisfied that EAR meets our goal and by the quality of professional services that EAS is delivering."
Dr. Herbert HuberLRZ SuperMUC-NG
- The Minds Behind EAR
EAR is a technological spin-off created jointly by the Barcelona Supercomputing Center (BSC) and the Universitat Politècnica de Catalunya (UPC).
As part of the Barcelona deep-tech ecosystem, we operate with ties to the UPC’s technology transfer and entrepreneurship divisions.
Our technology originated from years of computer science research at BSC and UPC and has been deployed on major European supercomputers.
Trusted by Leading HPC Centers
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