EAR Core & Packs

Job & System Monitoring for HPC and AI Workloads

Get real-time visibility into energy and resource usage across nodes, jobs, and applications.

Included Features:

• Basic system and job monitoring

• Application-level energy accounting

• Resource usage statistics

• Early detection of inefficiencies

Ideal for: System administrators who need foundational energy and workload visibility.

Advanced Job Analytics & Resource Hints

Unlock deeper insights into job and system performance with energy optimization suggestions.

Added Features:

• Application performance monitoring

• Energy and resource hints to improve usage

• Visual job analytics

• Detailed reporting on energy per job

Ideal for: Data centers optimizing workloads or planning energy-aware job scheduling.

Automatic Job Energy Optimization

Add smart energy policies to reduce power consumption while maintaining performance.

Key Benefits:

• Automatic frequency scaling for CPUs & GPUs

• Up to 50% energy savings with performance control

• Transparent to users and job schedulers

• Detailed job-level energy insights

Ideal for: HPC centers seeking performance-per-watt improvements at scale.

Cluster-Wide Power Capping and Optimization

Maximize cluster-wide energy efficiency and stay within power budgets.

Advanced Capabilities:

• Smart power capping at node and cluster levels

• Dynamic energy policy enforcement

• Performance-aware energy control on heterogeneous systems

• Real-time dashboards for energy KPIs

Ideal for: AI factories and HPC centers needing guaranteed power limits and CO₂ reduction.