Global data-center electricity use
2024 estimate
2024 estimate
415TWh
IEA · Energy and AI · 2025
DCP / Distributed Compute Power / Public Strategy Brief
Compute and power, aligned.
A strategy built on evidence.
Xinan AI Tech uses its internally developed DCP algorithm and engine architecture to coordinate compute, power and data. This public brief covers industry needs, capability boundaries, delivery methods, metric definitions and security governance, without disclosing sensitive implementation details for promotional effect.
Disclosure policyShare information that supports understanding, verification and collaboration. Do not disclose model logic, parameter settings, interface protocols, node topology, data samples, commercial calculations or implementation details that could compromise security or intellectual property.
Global data-center electricity use
2030 Base Case forecast
2030 Base Case forecast
945TWh
IEA Base Case · forecast
China: VPP balancing capacity
2027 policy target
2027 policy target
≥20GW
NDRC Energy [2025] No. 357
China: VPP balancing capacity
2030 policy target
2030 policy target
≥50GW
NDRC Energy [2025] No. 357
01 / STRATEGIC CONTEXT
Not just more compute. Better-coordinated demand.
The strategic case draws on public industry data and policy targets, not unaudited project returns or performance figures.
Annual global data-center electricity useTWh / IEA 2025
Only the two values published in the report are shown; no annual observations are fabricated. The 2030 figure is a scenario forecast, not an actual outcome or DCP performance result.
Source: IEA Energy and AI (2025) ↗China: VPP balancing-capacity targetsGW / Policy targets
National targets in NDRC Energy [2025] No. 357, not installed capacity or DCP deployments. 1 GW = 1 million kW.
Source: NDRC and NEA (2025) ↗02 / PUBLIC CAPABILITY BOUNDARY
Explain the value. Protect the implementation.
DCP shares capability boundaries, delivery interfaces and verification criteria. Internal implementation is protected through tiered access and minimum disclosure.
PUBLIC / 01
Coordinated operations
A coordination framework brings compute demand, power constraints and data state together, with objectives, boundaries and verifiable outcomes defined for each use case.
- Observable load and task status
- Explainable operating plans
- Traceable execution results
PUBLIC / 02
Engineering delivery
Delivery proceeds through site assessment, simulation, pilot operation and ongoing maintenance, rather than trial-and-error validation in production.
- Define use cases and acceptance first
- Phased rollout with rollback
- Retain operating data as authorized
PUBLIC / 03
Security and audit
Identity, authorization, logging, isolation and review define the public governance requirements and verifiable responsibilities of project participants.
- Least privilege and accountability
- Data permissions and purpose limits
- Incident handling through closure
RESTRICTED / 01
Restricted: models and parameters
Algorithm logic, constraints, weights, samples, performance parameters, policy thresholds and information from which these could be derived remain restricted.
- Protect intellectual property
- Reduce attack and misuse risks
- Avoid out-of-context performance claims
RESTRICTED / 02
Restricted: architecture details
Control topology, node orchestration, interface protocols, equipment inventories, network partitions, failover policies and project configurations are not disclosed publicly.
- Maintain system security boundaries
- Protect customer sites
- Disclose only with project authorization
RESTRICTED / 03
Restricted: commercial models
Site-level returns, payback periods, prices, capacity plans and customer operating data are not published. Commercial metrics follow a model agreed by both parties.
- Prevent misleading comparisons
- Protect market-sensitive information
- Disclose after audit, as agreed
03 / DEPLOYMENT METHOD
Share the process and evidence, not the blueprint.
Every stage has deliverables, observable metrics and explicit go/no-go conditions.
01 / DEFINEPROJECT GATE
Define the use case and baseline
Agree customer objectives, operating boundaries, data permissions, energy constraints and service levels. Establish a baseline without exposing implementation details.
Load profilesTask classesPermission scopeAcceptance criteria
02 / VALIDATENO-PROD TEST
Simulation and security review
Validate policy boundaries, degradation modes and audit requirements in an isolated environment. Designs that fail review do not enter production.
Boundary coverageRollback drillsAccess auditRisk register
03 / PILOTMEASURED
Pilot operation and evidence
Operate within a limited, reversible scope and record processes and results using agreed definitions. Unverified metrics are not presented as commitments.
AvailabilityResponse timeEnergy measurement scopeAudit completeness
04 / SCALEGOVERNED
Scale deployment and operations
Replicate only after pilot standards, risk boundaries and operating responsibilities are confirmed. Assess each new use case independently; do not extrapolate from one project.
Delivery consistencyChange controlIncident closurePeriodic review
04 / KPI & EVIDENCE
Build an evidence chain, not a headline number.
Actual values are disclosed to authorized parties only after project approval, agreement on definitions and any required audit.
Project evidence and acceptance criteriaAcceptance framework, not a score
01 OperationsAvailable time / agreed service time; state exclusions and the observation window.
02 EnergyCompare kWh for equivalent workloads within the same measurement boundary. Do not confuse energy with power in kW.
03 ServiceMeasure completion rate, P95 latency and missed deadlines by task type.
04 GovernanceVerify the completeness of permissions, operation logs, acknowledgements and change records.
Where measured values are not public, show definitions and verification methods only. Decorative percentages are not performance evidence.
Operational continuityAvailability, recovery time, plan execution and incident impact scope.
PROJECT METRIC
Energy coordinationCompare load profiles, energy use and responses to constraints using consistent definitions.
PROJECT METRIC
Task service qualityService levels, task completion, latency ranges and enforcement of business priorities.
PROJECT METRIC
Security and auditIdentity permissions, critical-operation logs, change records and incident closure.
PROJECT METRIC
Economic assessmentAssess each project using its tariffs, loads, contracts and financial definitions. No public-page financial commitments are made.
RESTRICTED
Coordination loop: state illustrationNot live monitoring
01 / OBSERVE
Observe status
Record timestamps, equipment health and task constraints.
02 / VALIDATE
Validate and execute
Execute plans within authorization and equipment-protection boundaries.
03 / VERIFY
Acknowledge and review
Retain results, deviations and audit evidence.
This illustrates public state logic, not actual control topology, policy thresholds or internal algorithms. Whether tasks can migrate during an incident depends on project conditions.
05 / SCENARIOS & GOVERNANCE
Different contexts. Specific boundaries and evidence.
DCP does not generalize results from one industry to every use case. Each context requires its own operational and governance assumptions.
| Use case | Public question | Verifiable deliverables | Restricted information |
|---|---|---|---|
| Campus and enterprise demand | How can energy use and task operations become more visible within existing constraints? | Baseline report, permission register, operating and audit definitions. | Policy thresholds, equipment inventories, user data and cost models. |
| Edge compute and endpoints | How can service levels, local compute and on-site operations become a deliverable capability? | Use-case definition, pilot acceptance and operating responsibilities. | Node capability curves, internal orchestration, protocols and firmware details. |
| Energy and flexibility resources | How can flexible resources be organized safely and compliantly? | Integration assessment, compliance checklist, dispatch and rollback drill records. | Market strategies, settlement logic, resource portfolios and project pricing. |
| Regional coordination projects | How can multiple parties coordinate permissions, data and responsibilities? | Governance charter, data-use rules and stage milestones. | Commercial partnership terms, project priorities and internal risk models. |
06 / SECURITY & DISCLOSURE
Security, compliance and disclosure come first.
Project credibility comes from auditable governance, not from publishing more implementation details.
Collect only data needed for authorized purposes; retain, use and delete it under project rules.
DATA MINIMIZATIONSeparate viewing, operation, approval and audit duties so no single permission spans the entire control chain.
ROLE SEPARATIONCritical changes require explicit stop conditions, rollback paths and accountable owners. Do not experiment blindly in production.
SAFE ROLLBACKPublish performance figures, case studies and commercial data only after source verification, customer authorization and any necessary compliance review.
DISCLOSURE REVIEWDATA SOURCES / VERSION 6.1
Every external figure needs an original source.
These sources provide industry and policy context. They do not promise performance, returns or scale for any DCP project.
IEA · 2025Energy and AIGlobal data centers used approximately 415 TWh in 2024; the Base Case forecasts around 945 TWh for 2030.IEA · BASE CASEEnergy demand from AIThe Base Case projects annual average growth of around 15% in global data-center electricity demand from 2024 to 2030.NDRC / NEA · 2025Guidance on Accelerating Virtual Power Plant DevelopmentSets national VPP balancing-capacity targets of at least 20 million kW in 2027 and 50 million kW in 2030.CAICT · 2025Research Report on Coordinated Compute and Power DevelopmentReviews development stages from exploration and early deployment to deeper coordination, alongside related policy practice.
Evidence definitions: public statistics, planning targets, scenario forecasts and project measurements are distinct categories and are not interchangeable. Forecasts and policy targets are labeled explicitly. Project conclusions must use site data, contractual boundaries and audit definitions agreed by both parties.