Government Cloud

Digital Government Infrastructure From ‘Built’ to ‘Well-Used’

AI & Big Data as the Next Growth Engine

Government cloud illustration: a civic building with a shield on a cloud platform of server and container blocks
Government Cloud

E-Government Cloud: Policy Drivers & Architecture

Policy & Construction Drivers

Digital China Overall Layout Plan — Digital Government 14th Five-Year

Digital Economy Plan — Government Cloud Consolidation

Data Security Law / Personal Information Protection Law

Provincial/City ‘One-Network’ services deepening rollout

MLPS 2.0 Level 3 + Cryptography Law enforcement

Xinchuang domestic substitution across all government IT

Market Reality

31 provinces/municipalities have government clouds

100,000+ systems completed migration

Government service online rate growing 15% annually

Key Trend

Government cloud is evolving from “built successfully” to “used effectively.” AI + big data integration is the core incremental demand driver.

Security & Compliance

MLPS Level 3, Cryptographic compliance, Data sovereignty

Elastic & Efficient

On-demand scaling, Resource pooling, Rapid delivery

Data Interconnection

Break silos, Cross-department sharing, Unified governance

Xinchuang Adoption

Domestic CPU/OS, Independent & controllable, Complete ecosystem

Architecture

Government cloud deploys as two physically isolated platforms — External Network (Internet Zone) and Internal Network (Public Service Zone). Data exchange only via network gateways. Each zone has its own security resource pool.

One cloud, multi-chip; GPU acceleration; bare metal; high-performance cloud storage.

Government Cloud

Government Cloud: Three Core Service Scenarios

Scenario 1: One-Stop Government Services

‘One-Network’ services platform

Cross-province high-frequency services

Three models: full online, remote agent, multi-site joint processing

AI Government Brain: 7×24h intelligent Q&A based on domestic LLM + local knowledge base

Enterprise Service Cloud Cabin: policy push, intelligent recommendations, full-process tracking

Tech needs: High concurrency (10x normal at peak), tidal traffic patterns, 99.99% availability, MLPS L3 + MiPing

Scenario 2: Smart City Public Services

Smart Healthcare: e-health records, telemedicine, cross-hospital card

Smart Education: online platforms, campus management, student assessment

Smart Transportation: intelligent signaling, traffic monitoring, travel services

Employment Services: precision matching, policy delivery, skills training

Tech needs: Elastic scaling for seasonal peaks, cross-department data sharing, AI compute for analytics

Scenario 3: Data-Driven Governance

Government Big Data Platform: population, legal entity, geospatial base databases + thematic databases

Data Sharing & Exchange: API sharing, file exchange, desensitization, access control

Internet+Regulation: risk early warning, public opinion monitoring, collaborative regulation

‘Sort-Circulate-Govern-Use-Control’ data governance system

Tech needs: Full lifecycle data governance, multi-level data sharing, real-time analytics for decision support

Government Cloud

Government Cloud: Technical Requirements & EasyStack Solution Match

One Cloud, Multi-Chip

Domain: Compute

Detail: Kunpeng, Hygon, Phytium, Intel, AMD unified support; VM + BM + container

EasyStack Solution: Single codebase, single portal, single account; 95% functional parity across chips

Advantage: No single-chip vendor risk; flexible procurement

Elastic Scaling

Domain: Compute

Detail: Auto scale-out/in; rapid response to business peaks; utilization 70%+

EasyStack Solution: Automated scaling policies; resource pooling across architectures

Advantage: 10x peak handling without pre-provisioning

Software-Defined Storage

Domain: Storage

Detail: Distributed; capacity/hybrid/all-flash tiers; 3-replica strong consistency

EasyStack Solution: MetaStor: multi-tier storage; intelligent data rebuild; 100μs latency

Advantage: Comprehensive storage tiering for all workloads

SDN + Acceleration

Domain: Network

Detail: Pure software SDN; VPC isolation; distributed routing; DPDK/RoCE/SR-IOV

EasyStack Solution: Proton SDN: 4.2x DPDK acceleration; microsecond RoCE latency; 100G/200G/400G

Advantage: Production-grade, regulatory-compliant

MLPS L3 + MiPing

Domain: Security

Detail: Physical/env/network/host/app/data security; national cipher SM2/3/4; CA/RA

EasyStack Solution: Built-in CA/RA; full cipher algorithm support; three-role separation; full audit

Advantage: MLPS + MiPing dual-compliance; audit-ready

Container + DevOps

Domain: Cloud-Native

Detail: Containerized apps; K8s orchestration; CI/CD; microservices governance

EasyStack Solution: EKS container cluster; bare-metal containers; DevOps pipeline; utilization 35%→70%+

Advantage: Unified VM + container management

99.999% Reliability

Domain: High Availability

Detail: Distributed multi-active; auto fault recovery; RPO→0, RTO<30s

EasyStack Solution: 5,000+ node verified; multi-AZ deployment; rolling upgrade zero downtime

Advantage: Financial-grade reliability for government

Unified Management

Domain: Operations

Detail: Multi-Region unified portal; self-service; monitoring; log analysis

EasyStack Solution: Automation Center; graphical OTA; resource lifecycle management; AI-assisted inspection

Advantage: Minimal ops team; maximum visibility

Government Cloud

Government Cloud: Competitive Landscape & Sales Strategy

Huawei / H3C / Inspur

Hardware bundling → supplier lock-in

Higher cost; medium customers priced out

Relatively closed ecosystem

Alibaba / Tencent Cloud

Weak private deployment capability

‘Heavy product, light service’ criticized

Slow Xinchuang adaptation; weaker government relationships

Telecom / Mobile / Unicom Cloud

Weaker technical capability vs. traditional cloud vendors

Many projects depend on Huawei underlying platform

AI productization based on open-source repackaging

EasyStack Sales Strategy

Target: Provincial/city government clouds (strong Xinchuang demand, clear decision chain) + District/county clouds (simple decisions; small-scale deters large vendors)

Core Value Proposition: Xinchuang leadership (one cloud multi-chip) + Financial-grade reliability (99.999%) + Lightweight (3-node start, evolve from VMware) + SASAC backing (CEC-controlled)

Channel: Direct sales for large customers; system integrator coverage for mid-small customers; ecosystem cooperation with domestic chip/OS vendors

Competition: Differentiated positioning — avoid carrier cloud price wars; win through POC performance validation; evolve from construction to long-term operations services