[ Multi-Objective Optimization for Data Centers ]
Every trade-off.
Every solution.
One map.
We compute the complete Pareto front of data center operations — every configuration where you cannot improve energy efficiency without trading off thermal compliance, reliability, or compute capacity. Not one answer. The full landscape.
01 — The problem
Your data center has
competing objectives.
Current tools optimize one thing at a time — typically PUE. But you can't minimize energy, minimize thermal risk, maximize reliability, and maximize compute capacity simultaneously. Every solution involves trade-offs. The question is: which trade-offs?
Minimize PUE
Energy efficiency. The universal KPI. Soon, a legal label.
Minimize thermal risk
Hotspots, ASHRAE compliance, hardware lifespan. Every degree matters.
Maximize reliability
Redundancy margin. What happens if a CRAH fails? How much headroom do you have?
Maximize IT capacity
How many more kilowatts of compute can you deploy before hitting thermal limits?
Comply with regulation
EU A-G rating labels mandatory from August 2027. 3,000+ DCs must report.
02 — Method
Telemetry. Model. Optimize. Decide.
A deterministic, reproducible Pareto front built from your real operational data. Auditable results. Mathematical rigor.
Telemetry
We connect to your BMS, DCIM, and server telemetry — Modbus, SNMP, Redfish, OPC UA. Temperature, power, flow, load. The raw data that defines your operating reality.
Model
A reduced-order thermal model trained on your historical data. Fast enough for millions of evaluations, accurate enough to trust. Validated against CFD.
Optimize
Our multi-objective engine explores the configuration space. Four objectives, thousands of configurations, deterministic results. Reproducible. Auditable.
Decide
The result: an interactive Pareto front. See how PUE changes if you raise supply temperature 2°C. See the cost of going from E to C rating. You decide. We give you the map.
03 — Services
Three lines, one engine.
From compliance to design. The same Pareto front methodology, adapted to each decision.
Thermal Design Optimization
For new builds, retrofits, and liquid cooling migration. Rack layout, CRAC placement, cooling technology selection. Pareto front of design alternatives: cost × PUE × redundancy. Capex decisions with full trade-off visibility.
"Don't over-provision. Optimize."
Operational Optimization
Continuous optimization of setpoints using live telemetry. Seasonal Pareto fronts: energy × thermal risk × reliability × IT capacity. Quarterly re-optimization. Alerts when operation drifts from optimal.
"The full landscape, updated every season."
EU Compliance & Rating
Model your PUE, WUE, renewable fraction, waste heat reuse. Project your A-G rating. Generate the compliance report with auditable trail — from the same Pareto front.
"Your DC is rated E. Here's the map to C."
04 — Comparison
Others give you an answer.
We give you the landscape.
Single-objective tools return one configuration. We return the complete set of non-dominated solutions — every trade-off, visible, auditable.
| AI / RL tools single-objective | BMS / Rules heuristic | CFD consultants manual | OPXIMA | |
|---|---|---|---|---|
| Output | One policy (black box) | One config (heuristic) | One scenario (manual) | Pareto front complete map |
| Multi-objective | ✗ Single reward | ✗ Single-obj heuristic | ✗ Single scenario | ✓ 4 objectives |
| Explainability | ✗ Black box | △ Fixed rules | △ Depends on report | Deterministic |
| Audit trail | ✗ Not reproducible | △ Partial | ✗ Manual | ✓ Seed + params = same result |
| Speed | Real-time | Real-time | Days/run | Minutes/run |
| Use case | Operational control | Operational control | One-off design | Strategic decisions + compliance |
05 — Research
Grounded in academic research.
Built for industry.
Opxima's optimization methodology is grounded in peer-reviewed academic research. Benchmarked against international standards. Validated through 250+ tests across 14 algorithms and 46 benchmark problems.
algorithms
problems
tests
Active research: Continuous improvement of multi-objective optimization applied to real data center operations — bridging the gap between academic benchmarks and industrial deployment. Surrogate modeling, distributed computation, and validated trade-off analysis for energy-intensive facilities.
05 — Market
The market is real.
The regulation is now.
market (2025)
market (2025)
report PUE
improvement target
06 — EU Regulation
The clock is ticking.
First PUE report due
DCs >500 kW must report energy data to EU database.
Annual reporting mandatory
PUE, WUE, renewables, waste heat.
Energy Efficiency Package adopted
Rating scheme + minimum standards framework.
A-G labels mandatory
Public, in all EU languages. Operators must share on request.
Minimum performance standards review
Possible mandatory PUE thresholds.
[ Compliance ]
Your A-G rating is coming.
We can compute it.
EU labels are mandatory from 2027. Our methodology computes your current rating, the path to improve it, and the compliance report — all from the same Pareto front. Reproducible. Auditable. Mathematical.
Get started
Your data center has an
A-G rating. Do you know
what it is?
Opxima computes your current rating, maps the path to improve it, and delivers the full operational Pareto front. Reproducible. Auditable. Mathematical.
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