Distributed Compute Power

DCPDistributed Compute-Power Coordinationdrives the next generation ofintelligent infrastructure

Coordinate compute and power with intelligent scheduling to build efficient, reliable, and sustainable infrastructure for AI-scale growth.

Xinan Intelligence applies its proprietary DCP algorithms and engine architecture to coordinate compute, power, and data.

View solution DCP Strategy→Contact us

AI concept · Not a project photograph or product specification

Efficient coordination

Compute and power scheduling for better utilization

Elastic dispatch

Multi-tier pools for dynamic demand

Greener efficiency

Energy-aware optimization for lower carbon

Secure and reliable

Layered protection for business continuity

Open compatibility

Standard interfaces for diverse ecosystems

Intelligent operations

AI-driven O&M for lower service cost

DCP / OPERATING LOOP

Compute, power and task coordination

01
Observe
Power, queues, device health
02
Validate
Permissions, capacity, deadlines
03
Schedule
Assign location and time window
04
Execute locally
Retain native device protection
05
Verify & audit
Results, deviations, traceability

Public logic illustration, not live telemetry. Observations feed validated decisions; execution returns auditable evidence.

ENGINEERING / INTERACTIVE MODEL

24-hour compute-power model

Illustrative model, not live data, a DCP benchmark or a return promise. Compare power, grid energy and electricity cost at equal daily work.

Flexible workload 60%Solar peak 100 kW

Inspect hour 12:00

Compute energy (unchanged)

480 kWh

Scheduled grid energy

1,788 kWh

Energy-charge difference

81.6 CNY

Grid peak (before → after)

125 → 114 kW

Site power and solar output / kW

OriginalScheduledSolar

Swipe the chart or use the hour slider above to inspect values.

12:00 · Original 115 kW · Scheduled 103 kW · Solar 100 kW

Hourly grid import / kW

OriginalScheduled

Swipe the chart or use the hour slider above to inspect values.

12:00 · Original 15 kW · Scheduled 3 kW

Daily energy charge / CNY

Original1,271.2

Scheduled1,189.6

02,400 CNY

Same tariffs and daily energy; grid energy charges only.

Scheduled energy supply / kWh

Grid: 1,788 kWh
On-site solar: 762 kWh
Total site energy: 2,550 kWh

Solar consumed + grid imports = site demand. Surplus solar earns no revenue in this model.

Assumptions, limitations and hourly data

Synthetic day, 1-hour steps. Fixed load: 95 kW at 08–17, 105 kW at 18–21, otherwise 70 kW. Original compute: 20 kW × 24 h. Movable work is ready at 00:00 and due by 24:00. Site limit: 160 kW. Assign 1 kWh increments by marginal grid cost. Illustrative tariffs: 0.4 at 00–06 and 23, 1.1 at 17–21, otherwise 0.7 CNY/kWh, not a regional tariff. Excludes migration overhead, demand charges, storage, depreciation, taxes, export revenue and emissions. Peak reduction is not the objective; grid peak may increase. Solar follows a synthetic sine curve.

Illustrative raw data · kW / CNY per kWh
Hour	Original	Scheduled	Solar	Grid·before	Grid·after	Tariff
0	90	114	0	90	114	0.4
1	90	114	0	90	114	0.4
2	90	114	0	90	114	0.4
3	90	114	0	90	114	0.4
4	90	114	0	90	114	0.4
5	90	114	0	90	114	0.4
6	90	114	0	90	114	0.4
7	90	78	26	64	52	0.7
8	115	103	50	65	53	0.7
9	115	103	71	44	32	0.7
10	115	103	87	28	16	0.7
11	115	103	97	18	6	0.7
12	115	103	100	15	3	0.7
13	115	103	97	18	6	0.7
14	115	103	87	28	16	0.7
15	115	103	71	44	32	0.7
16	115	103	50	65	53	0.7
17	115	103	26	89	77	1.1
18	125	113	0	125	113	1.1
19	125	113	0	125	113	1.1
20	125	113	0	125	113	1.1
21	125	113	0	125	113	1.1
22	90	78	0	90	78	0.7
23	90	114	0	90	114	0.4

INDUSTRY / IEA 2025

Global data-centre electricity use

TWh / 2024 estimate vs 2030 Base Case projection; not DCP performance

2024 · Estimate415 TWh

2030 · Projection945 TWh

05001,000 TWh

Only the two reported values are shown; no invented annual observations. Projections are not outcomes.

IEA Energy and AI (2025) · Source ↗

COMPUTE-POWER TRADING

Compute-power trading that follows clean energy

Connect flexible data-center workloads with renewable supply and real-time electricity prices. Shift training, batch processing, and model tuning toward cleaner, lower-cost periods without compromising SLAs.

The same compute workload can have a completely different cost structure depending on when and where it runs.

Explore trading system→Explore value

AI concept · Not a project photograph or product specification

Flexible compute loads

Classify migratable, interruptible, and deferrable jobs while protecting online inference and real-time services.

Renewable supply

Connect green-power contracts, direct supply, certificates, and on-site solar-storage resources.

Market participation

Coordinate long-term contracts, spot optimization, ancillary services, demand response, and settlement.

Joint scheduling

Optimize which task runs, in which facility, and at what time based on price, energy, and SLA constraints.

Visible · Predictable · Dispatchable · Auditable

01Unified data

02Forecasting

03Joint optimization

04Execution

05Settlement

Development Kit and Board Layout

AI concept · Not a project photograph or product specification

COMPUTE KIT

RK182X Development Kit

Built for gateways, edge servers, robotics, and local inference nodes with integrated expansion, media processing, compute scheduling, and field deployment readiness.

Learn more→

AI concept · Not a project photograph or product specification

BOARD LAYOUT

Expandable Board Form Factor

From onboard interfaces and module slots to multi-link expansion, it serves as a baseboard for vertical terminals and custom edge devices.

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Key Points

Three-tier linkage

Home nodes, community GPU micro-centers, and regional centers operate as one coordinated network.

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Closed loop autonomy

Distributed inference, fragmented storage, and local agents form a full delivery loop.

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Fast multi-scenario rollout

Adaptable to communities, campuses, towers, utilities, and regional pilots.

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Compute-Power System

Intelligent Node System

A tiered architecture for distribution areas, industrial campuses, energy storage stations, and regional compute centers.

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On-chain Device Passport

Unique device credentials record registration, firmware versions, policy delivery, and response receipts with trusted auditability.

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Device Management Center

Unified governance for onboarding, activation, revocation, OTA, health monitoring, and demand-response receipts.

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Project Delivery and Operations Assurance

A clear path from resource discovery and pilot integration to acceptance and long-term operations.

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Compute-Power Architecture

Home Nodes

AI concept · Not a project photograph or product specification

Community GPU Micro-Center

AI concept · Not a project photograph or product specification

Distributed scheduling

Sharded storage sync

Load balancing

Local agent management

GPU accelerationHigh-precision cacheSecure isolation

Learn more→

Regional Compute Center

AI concept · Not a project photograph or product specification

Large-scale orchestration

Model training and updates

Global cache and knowledge

Security governance

Learn more→

Inference request

Model shard dispatch

Cache coordination

Result return

Trusted transport

Core Capabilities

AI concept · Not a project photograph or product specification

Heterogeneous access

Connect multiple power and compute resources with unified control.

AI concept · Not a project photograph or product specification

Smart optimization

AI scheduling improves overall throughput and stability.

AI concept · Not a project photograph or product specification

Precise matching

Match compute and energy demand with predictable supply.

AI concept · Not a project photograph or product specification

Energy monitoring

Track node health and power efficiency continuously.

AI concept · Not a project photograph or product specification

Elastic expansion

Scale capacity rapidly as service load changes.

AI concept · Not a project photograph or product specification

Reliability assurance

Security and disaster tolerance for long-term operation.

Application Scenarios

AI concept · Not a project photograph or product specification

Communities

Improve intelligent local services

AI concept · Not a project photograph or product specification

Campuses

Support digital campus operations

AI concept · Not a project photograph or product specification

Buildings

Create intelligent tower management

AI concept · Not a project photograph or product specification

Energy Providers

Optimize dispatch and energy operations

AI concept · Not a project photograph or product specification

Regional Pilots

Accelerate regional digital economy programs

Hour	Original	Scheduled	Solar	Grid·before	Grid·after	Tariff
0	90	114	0	90	114	0.4
1	90	114	0	90	114	0.4
2	90	114	0	90	114	0.4
3	90	114	0	90	114	0.4
4	90	114	0	90	114	0.4
5	90	114	0	90	114	0.4
6	90	114	0	90	114	0.4
7	90	78	26	64	52	0.7
8	115	103	50	65	53	0.7
9	115	103	71	44	32	0.7
10	115	103	87	28	16	0.7
11	115	103	97	18	6	0.7
12	115	103	100	15	3	0.7
13	115	103	97	18	6	0.7
14	115	103	87	28	16	0.7
15	115	103	71	44	32	0.7
16	115	103	50	65	53	0.7
17	115	103	26	89	77	1.1
18	125	113	0	125	113	1.1
19	125	113	0	125	113	1.1
20	125	113	0	125	113	1.1
21	125	113	0	125	113	1.1
22	90	78	0	90	78	0.7
23	90	114	0	90	114	0.4

Hour	Original	Scheduled	Solar	Grid·before	Grid·after	Tariff
0	90	114	0	90	114	0.4
1	90	114	0	90	114	0.4
2	90	114	0	90	114	0.4
3	90	114	0	90	114	0.4
4	90	114	0	90	114	0.4
5	90	114	0	90	114	0.4
6	90	114	0	90	114	0.4
7	90	78	26	64	52	0.7
8	115	103	50	65	53	0.7
9	115	103	71	44	32	0.7
10	115	103	87	28	16	0.7
11	115	103	97	18	6	0.7
12	115	103	100	15	3	0.7
13	115	103	97	18	6	0.7
14	115	103	87	28	16	0.7
15	115	103	71	44	32	0.7
16	115	103	50	65	53	0.7
17	115	103	26	89	77	1.1
18	125	113	0	125	113	1.1
19	125	113	0	125	113	1.1
20	125	113	0	125	113	1.1
21	125	113	0	125	113	1.1
22	90	78	0	90	78	0.7
23	90	114	0	90	114	0.4

DCPDistributed Compute-Power Coordinationdrives the next generation ofintelligent infrastructure

Compute, power and task coordination

Observe

Validate

Schedule

Execute locally

Verify & audit

24-hour compute-power model

Global data-centre electricity use

Compute-power trading that follows clean energy

Flexible compute loads

Renewable supply

Market participation

Joint scheduling

Development Kit and Board Layout

RK182X Development Kit

Expandable Board Form Factor

Key Points

Three-tier linkage

Closed loop autonomy

Fast multi-scenario rollout

Compute-Power System

Intelligent Node System

On-chain Device Passport

Device Management Center

Project Delivery and Operations Assurance

Compute-Power Architecture

Core Capabilities

Heterogeneous access

Smart optimization

Precise matching

Energy monitoring

Elastic expansion

Reliability assurance

Application Scenarios

Communities

Campuses

Buildings

Energy Providers

Regional Pilots

Hour	Original	Scheduled	Solar	Grid·before	Grid·after	Tariff
0	90	114	0	90	114	0.4
1	90	114	0	90	114	0.4
2	90	114	0	90	114	0.4
3	90	114	0	90	114	0.4
4	90	114	0	90	114	0.4
5	90	114	0	90	114	0.4
6	90	114	0	90	114	0.4
7	90	78	26	64	52	0.7
8	115	103	50	65	53	0.7
9	115	103	71	44	32	0.7
10	115	103	87	28	16	0.7
11	115	103	97	18	6	0.7
12	115	103	100	15	3	0.7
13	115	103	97	18	6	0.7
14	115	103	87	28	16	0.7
15	115	103	71	44	32	0.7
16	115	103	50	65	53	0.7
17	115	103	26	89	77	1.1
18	125	113	0	125	113	1.1
19	125	113	0	125	113	1.1
20	125	113	0	125	113	1.1
21	125	113	0	125	113	1.1
22	90	78	0	90	78	0.7
23	90	114	0	90	114	0.4