Sovereign infrastructure with orchestration intelligence, not just isolated compute.
- Customer-owned dedicated tenancy with EU residency
- Carbon-aware placement inside your compliance boundaries
- DORA, NIS2, and AI Act compliant deployment options
- Cloud-like self-service, observability, and automation
Regulated organizations face a placement problem that public cloud cannot solve
Sovereign and compliance requirements remove most of the optimization levers that public cloud teams use. Private infrastructure alone does not fix the problem.
Jurisdiction constraints eliminate most provider options
Jurisdiction constraints eliminate most provider options
DORA, NIS2, GDPR, and sector-specific regulations define where data can reside, who can access infrastructure, and which providers qualify. Most hyperscaler regions do not satisfy all three simultaneously.
Dedicated infrastructure still runs workloads in the wrong windows
Dedicated infrastructure still runs workloads in the wrong windows
Private cloud removes multi-tenancy risk but does not add scheduling intelligence. Workloads still run whenever resources are free, not when the grid is clean or energy is cheapest.
Compliance evidence requires workload-level attribution
Compliance evidence requires workload-level attribution
Audit requirements increasingly ask for per-workload, per-client, per-matter compute attribution. Shared infrastructure and aggregated billing make this impossible without an orchestration layer.
Cloud-like automation is difficult to self-build on dedicated infrastructure
Cloud-like automation is difficult to self-build on dedicated infrastructure
Regulated teams that self-host face a build vs. buy decision on self-service provisioning, observability, auto-scaling, and patch automation. The compliance layer adds cost to every internal build.
AI Act obligations require runtime-level controls
AI Act obligations require runtime-level controls
Deploying AI systems under the AI Act requires documented runtime controls, human oversight mechanisms, and audit trails at model call level. Infrastructure without orchestration cannot produce these.
Carbon reporting under CSRD lacks workload-level data
Carbon reporting under CSRD lacks workload-level data
CSRD Scope 2 requirements for regulated organizations need workload-level attribution, not provider-level estimates. Private cloud without carbon telemetry produces only crude approximations.
How GREENPOW Private Cloud compares
Against public hyperscalers, co-location without orchestration, sovereign cloud providers, and generic private cloud platforms.
| GREENPOW Private Cloud | Hyperscaler (shared) | Co-lo without orchestration | Sovereign cloud provider | Generic private cloud | |
|---|---|---|---|---|---|
| Customer-owned dedicated tenancy | - | Varies | Varies | ||
| Carbon-aware placement | - | - | - | - | |
| Jurisdiction constraint enforcement | Limited | - | Varies | - | |
| Per-workload Scope 2 evidence | Aggregated | - | - | - | |
| DORA / NIS2 placement controls | - | - | Varies | - | |
| Cloud-like self-service automation | - | Partial | Partial | ||
| Air-gapped deployment | - | - | Varies | ||
| Per-client isolation evidence | - | - | - | - |
How private cloud orchestration operates within your compliance envelope
The orchestration lifecycle for sovereign workloads runs the same eight stages - with compliance constraints applied before any optimization signal.
Technical deployment surface
GREENPOW Private Cloud installs inside your sovereign boundary and integrates with your existing infrastructure stack.
OpenNebula and bare-metal Kubernetes
GREENPOW control-plane runs inside your data center or co-location facility. Integrates with OpenNebula, Kubernetes on bare-metal, VMware vSphere, and custom private cloud platforms.
On-premises carbon telemetry
Reads power consumption from PDU sensors, UPS feeds, IPMI, and DCIM systems. Correlates with local grid carbon intensity from national grid APIs or on-site metering. No data leaves your perimeter.
Compliance metadata store
Governance rules, jurisdiction definitions, personnel access policies, and framework-specific classifications stored in your control-plane. Policy-as-code for DORA, NIS2, GDPR, and sector-specific frameworks.
Per-client and per-matter tenancy
Automated namespace provisioning with isolation guarantees, access control, and telemetry scoping per client, matter, department, or project. Evidence generated at each isolation boundary.
Air-gapped deployment option
For highest-classification environments, GREENPOW operates without external API dependencies. Signal ingestion, scoring, evidence generation, and audit export all run inside your air-gapped perimeter.
Integration with existing observability
Metrics emitted to your existing Prometheus, Grafana, or SIEM stack. Compliance event logs integrated with your audit pipeline. No new observability tooling required.
How regulated organizations use private cloud orchestration
Legal SaaS with per-matter data isolation
Each client matter requires isolated compute and storage with documented access logs. Shared cloud tenancy cannot prove isolation. Private bare-metal is compliant but has no self-service or per-matter carbon attribution.
GREENPOW creates dedicated workload namespaces per matter with automated provisioning, access-controlled telemetry, and per-matter carbon records. Audit evidence is generated automatically for each matter lifecycle.
Financial institution under DORA and NIS2
Critical function classification under DORA requires documented placement controls and incident scope definitions. The infrastructure team cannot prove which workloads run where without manual tracking.
GREENPOW tags every critical function workload with DORA classification metadata, enforces placement constraints per classification, and generates incident scope maps automatically from live placement state.
Public sector AI deployment under AI Act
Deploying a high-risk AI system requires documented runtime controls, human oversight mechanisms, and audit trails. Existing infrastructure has no orchestration layer capable of producing these artifacts.
GREENPOW instruments the AI runtime environment with orchestration-level controls, generates model-call audit trails, and produces the compliance documentation required for AI Act conformity assessment.
Healthcare data processing with CSRD Scope 2 reporting
The sustainability team needs Scope 2 workload-level attribution across multiple hospital sites. Aggregated billing from shared infrastructure cannot produce the workload-level data CSRD requires.
GREENPOW instruments each site's private infrastructure and generates per-department, per-system, and per-workload carbon records with evidence labels, ready for CSRD reporting without reconstruction.
Technical questions
Does GREENPOW Private Cloud require any external network access?
No. GREENPOW can operate in fully air-gapped mode. Grid carbon intensity data can be ingested from on-site metering, local grid APIs, or pre-loaded signal packages. All scoring, placement, and evidence generation runs inside your perimeter.
Which compliance frameworks does GREENPOW support?
GREENPOW's constraint engine supports DORA critical function classification, NIS2 incident scope definitions, GDPR data residency rules, AI Act risk tier placement controls, and CSRD Scope 2 reporting. Framework rules are defined as policy-as-code and can be extended for sector-specific requirements.
How does per-matter isolation work for legal SaaS?
GREENPOW provisions isolated compute namespaces per matter with IAM-controlled access, telemetry scoping per matter ID, and evidence generation at matter open/close events. Per-matter carbon records, access logs, and residency attestations are generated automatically and exportable for client audit.
Can GREENPOW integrate with our existing DCIM and observability stack?
Yes. GREENPOW reads power data from standard DCIM interfaces (IPMI, Redfish, Raritan, APC, Vertiv) and emits metrics to your existing Prometheus, Grafana, or SIEM setup. No parallel observability infrastructure is required.
What does deployment look like for a regulated financial institution?
Deployment is typically on dedicated hardware in an approved data center within your jurisdiction. GREENPOW installs as a control-plane service alongside your existing workload orchestrator. The compliance policy store is loaded from your governance system. Initial deployment takes two to four weeks, including policy configuration and telemetry calibration.
How does GREENPOW handle multi-site private cloud with different jurisdictions?
Each site is defined with its own jurisdiction scope, data residency rules, and personnel access policy. Workloads tagged with jurisdiction requirements are automatically constrained to eligible sites. Cross-site placement decisions include jurisdiction compatibility verification before scoring.
When to pick a sibling product instead
Review your sovereign deployment options
Tell us your compliance frameworks, jurisdiction requirements, and workload profile. We map a deployment architecture that satisfies all three.