One platform, many kinds of facilities.
From hyperscale training clusters to retrofits of existing sites, AquaWatt DC OS adapts to how each facility runs. The scenarios below illustrate where the platform is designed to create value.
Hyperscale AI clusters
GPU-dense halls push power and cooling to their limits, and small inefficiencies scale into large costs.
AquaWatt forecasts load, coordinates cooling and power together, and proposes optimizations that protect thermal headroom.
Initial pilot target: tighter thermal margins and lower energy per unit of compute.
Colocation & multi-tenant
Operators must balance efficiency with per-tenant transparency and fair resource attribution.
Resource use is measured and attributed continuously, with sustainability reporting your tenants can trust.
Initial pilot target: clearer per-tenant resource visibility and reporting.
Enterprise & private AI
Smaller AI facilities need enterprise-grade control without a large operations team.
A single command center and AI copilot help lean teams operate reliably and efficiently.
Initial pilot target: more headroom for small teams to manage complex facilities.
Retrofit existing facilities
Legacy BMS, SCADA, and DCIM systems hold valuable data that is hard to unify and act on.
The AquaWatt Edge connects to existing protocols with no rip-and-replace, layering intelligence on top.
Initial pilot target: unified visibility across previously siloed systems.
Sustainability & ESG reporting
Sustainability numbers are often modeled, delayed, and hard to defend to stakeholders.
AquaWatt ties every metric to measured outcomes, producing a defensible, auditable lineage.
Initial pilot target: verified, traceable energy, water, and carbon metrics.
Outcomes shown are initial pilot targets and illustrative platform demonstrations, not guaranteed results. Actual performance depends on each facility’s equipment, baseline, and operating conditions.
Which scenario looks like your facility?
Tell us about your site and we’ll map AquaWatt DC OS to your specific goals.
Built for the operators carrying the AI load
AquaWatt DC OS is designed for organisations whose electricity and water consumption is now a strategic constraint rather than a line item. These are the segments the platform is being built around.
Hyperscale cloud providers
Large multi-region estates where a fraction of a point of PUE compounds across sites.
AI infrastructure providers
Dense GPU clusters with volatile power draw and aggressive time-to-capacity pressure.
Colocation operators
Multi-tenant halls needing per-customer resource visibility and fair attribution.
Enterprise data-center operators
Owned facilities balancing uptime commitments against energy and water cost.
Telecommunications companies
Distributed edge and core sites where remote insight beats site visits.
Universities and research laboratories
Research computing with flexible batch schedules and constrained budgets.
Government computing facilities
Public-sector sites with reporting mandates and strict change-control processes.
High-performance-computing centers
Sustained peak utilisation where cooling strategy drives most of the resource bill.
Utilities serving data-center regions
Grid operators seeking visibility into large, fast-growing interconnection loads.
Developers and engineering firms
Teams designing new capacity who need evidence-based operating assumptions.
Is your facility a strong first fit?
Early deployments go fastest where instrumentation, workload flexibility and organisational mandate already line up. The more of these that describe your site, the shorter the path from integration to verified savings.
Not every box needs a tick. Partial matches are still worth a conversation — the pilot readiness self-check on the pilot program page will show you exactly where the gaps are.
- One or more facilities between 5 MW and 50 MW
- High-density AI, GPU or HPC workloads
- Metered power and cooling infrastructure
- A BMS, DCIM or SCADA environment
- Flexible batch or training workloads
- Significant cooling cost
- Water or grid-capacity concerns
- A sustainability or energy-reduction mandate
- A facilities team capable of supporting integrations
- At least 90 days of historical operational data
Segments and profile criteria describe the customers AquaWatt DC OS is being designed for. They are not a statement of existing deployments or customer relationships.
Every seat in the room sees a different problem.
Resource decisions in a data center are never made by one person. AquaWatt DC OS is designed around the seven roles that have to agree before anything changes on the floor.
Chief Infrastructure Officer
Objectives
- Increase computing capacity.
- Avoid infrastructure shortages.
- Reduce operating cost.
- Maintain portfolio-wide reliability.
- Support corporate sustainability commitments.
What they need from the platform
What teams actually hire AquaWatt to do.
Determine where electricity and water are being consumed.
Predict resource demand before capacity constraints occur.
Find safe operational changes that reduce consumption.
Coordinate facility operations with computing workloads.
Shift flexible workloads to better times or locations.
Detect leaks, cooling inefficiencies and abnormal power use.
Validate resource savings after an action.
Demonstrate environmental performance to stakeholders.
Compare facilities and identify underperforming sites.
Automate repetitive optimization decisions.
Avoid decisions that reduce one resource while worsening another.
Prepare facilities for grid emergencies, droughts or heat waves.
Model future infrastructure and workload scenarios.