Energy Efficiency & Sustainability

Optimizing 100kW+ Racks: Facilities, Hardware, and Software Synergy.

The Core Operational Constraint

Energy efficiency in 2026 is no longer a "nice-to-have" but a core requirement driven by massive power densities and strict regulations like the EU Data Centre Energy Efficiency Package. We implement a coordinated strategy across facilities, hardware, and software to reduce your carbon footprint and TCO.

1. Advanced Cooling Infrastructure

Direct Liquid Cooling (DLC)

Transitioning to warm-water cooling (30–40°C) eliminates the need for energy-intensive chillers. Cold plates attached directly to CPUs/GPUs remove up to 95% of heat at the source.

Heat Reuse & Circularity

Modern designs channel waste heat (70–90°C via heat pumps) into local building heating or city networks. This turns a "waste" product into a valuable resource for urban infrastructure.

2. Energy-Aware Job Scheduling

We transition your Resource Manager (Slurm/PBS) to power-aware algorithms that optimize for energy, not just speed:

  • Dynamic Power Capping: Adjusting CPU/GPU clock speeds (DVFS) in real-time to stay below facility thresholds.
  • Green Credits: Prioritizing jobs that run during off-peak hours when renewable energy is abundant.
  • Predictive Thermal Twins: Using AI to anticipate thermal hotspots and optimize job placement.

3. Real-Time Sustainability Analysis

Category Tools & Metrics Optimization Goal
Facility Level PUE (Power Usage Effectiveness) Target PUE below 1.1; identify air recirculation losses.
Node Level RAPL (Running Average Power Limit) Limit power draw of DRAM and CPU per task.
Job Level Energy-per-Simulation (Joules) Assess total energy cost per scientific insight.
System Level Digital Twin Dashboards Anticipate thermal behavior and prevent throttling.

4. Communication-Avoiding Algorithms

Inefficient code wastes energy. We assist in refactoring software for the green era:

  • Mixed-Precision: Reducing energy cost per op by using FP16/BF16/FP8 where 64-bit isn't required.
  • Data Locality: Since moving data across the network costs more than processing it, we focus on local-memory-heavy algorithms.

Build a Sustainable HPC Future

Download our "Sustainability Roadmap for 2026" and learn how to align with the new EU Energy Efficiency Package.

Download Efficiency Guide (.pdf)