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ENTERPRISE WAN

Enterprise WAN and Cross-border Connectivity

Hybrid circuits plus SD-WAN from HQ to branches and from China to overseas sites. GSS coordinates carriers, local loops, cross-border segments and CPE under one design, then operates it.

Industry Multinational China operations / multi-site groups / China-based companies expanding abroad

  1. 01Customer situation
  2. 02Business risk
  3. 03Target architecture
  4. 04GSS scope of responsibility
  5. 05Engagement model
  6. 06Evidence and measurement basis

01Customer situation

A multinational's China operation or a multi-site group needs domestic branches, headquarters and overseas sites on one operable network. Today there are typically several carriers, several contracts and several CPE estates, with no single accountable party and no single monitoring view.

Typical issues
  • High, variable latency from China branches to global HQ applications and collaboration tools
  • Multiple carriers, contracts and service desks; finger-pointing during incidents
  • MPLS is expensive, yet the risk of moving straight to Internet VPN has never been assessed
  • R&D teams must sync training data to overseas GPU clusters; the public internet is slow and transfers are not auditable
  • Link failures are found by hand; bandwidth is added only after the fact

02Business risk

  1. Critical applications (ERP, video, SaaS) become unavailable when cross-border quality fluctuates, disrupting global collaboration
  2. Unclear vendor boundaries make time-to-identify and time-to-restore unpredictable
  3. Network changes lack a common change window and rollback plan; cutovers cause outages
  4. Incomplete records of transfer paths and approvals cannot be evidenced in internal or external audits
Reference outcomes
↓ 30%+ Circuit cost
20h → 2.5h Cross-border data sync
15–30 min ahead Link-failure warning
1 party Contracts and service desks

From customer-authorised cases; measurement basis under “Evidence”. Your results depend on the baseline assessed for your project.

03Target architecture

Backbone
HQ ↔ core-city IEPL / MPLS circuits with dedicated bandwidth for critical traffic; primary and secondary routes on different carriers and different building entries.
Branches
DIA plus 4G/5G backup; SD-WAN CPE applies per-application path policy; branch devices follow one template and are centrally managed.
Cross-border
Egress through GSS PoPs in Tokyo, Hong Kong, Singapore and Los Angeles, connecting to partner carriers for global reach; latency and jitter committed per circuit order.
Compute channel
High-bandwidth Shanghai / Beijing ↔ Singapore / Tokyo / Los Angeles circuits for AI R&D teams, with transfer acceleration and a data-transfer audit gateway.
Monitoring and operations
Active-active NOCs in Beijing and Shanghai monitor every circuit and CPE 24/7; one ticket queue, monthly reports, quarterly architecture reviews; bilingual liaison with HQ.

Design principles

  • Define the service level, design the path, then pick the bandwidth. Every segment has a demarcation point, a latency budget and a protection scheme.
  • Critical traffic on circuits, non-critical on internet. SD-WAN steers by application type, fails over to internet backup and fails back when the circuit recovers.
  • Cross-border segments ride GSS PoPs for end-to-end monitoring and fault isolation; overseas last-mile is carried by partner carriers, with the boundary written into the order.
  • Changes have windows and rollbacks. Cutovers follow phased, customer-reviewed plans outside business hours.

Who this is for

  • Multinational China operations (manufacturing, retail, professional services) connecting to global HQ networks
  • Domestic groups with 20+ branches that need one network service interface
  • AI and internet companies with overseas GPU clusters that need to sync training data across borders
  • China-based companies with offices or data centres in Southeast Asia, Japan or the US West Coast

04GSS scope of responsibility

GSS owns
  • Network architecture (HLD / LLD), carrier and route comparison, TCO modelling
  • Procurement coordination and delivery tracking for carriers, local loops, cross-border segments and CPE
  • CPE configuration, on-site installation, cutover and end-to-end acceptance testing
  • 24/7 monitoring, incident handling, carrier escalation, change management and reporting
Customer owns
  • Final confirmation of application priorities and bandwidth requirements
  • Site conditions, access permits and local IT cooperation
  • Compliance judgement and approval workflow for data transfers (GSS provides technical control documentation)
Ecosystem partners
  • Licensed carriers provide domestic and cross-border circuits
  • Overseas partner carriers provide last-mile access beyond GSS PoPs
Solution components

Solution components

03

Enterprise Connectivity

Enterprise connectivity, delivered end to end. GSS coordinates carriers, local loops, cross-border segments, CPE and on-site work under one design for DIA, IEPL, MPLS, IP-VPN and SD-WAN.

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05

Managed Infrastructure Services

24/7 monitoring from active-active NOCs in Beijing and Shanghai, hardware maintenance and resident engineers; scope, service windows, escalation, reporting and spares responsibility defined per order.

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06

Field Engineering & Smart Hands

Coordinated field engineering across 200+ cities in Greater China for installations, IMAC, inspections, Smart Hands and incident dispatch, with tickets, MOPs, site evidence and reports managed by GSS.

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07

Hardware Procurement & Lifecycle

Procurement, receiving, asset registration, staging, delivery, RMA, spares and recovery for network and IT hardware in China.

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05Engagement model

Per-circuit subscription
Bandwidth, service level and term agreed per circuit, with GSS as the single service interface. Suits enterprises with a stable branch footprint.
Managed WAN
Circuits, CPE and 24/7 operations bundled as a monthly fee per site, including changes, reporting and quarterly optimisation recommendations.
Project delivery with handover
One-off architecture design and network-wide cutover, followed by transition to GSS managed operations or handover to the customer team.

06Evidence and measurement basis

  • Reference outcomes come from cases published with written customer consent (see related cases); measurement is before/after the project, with periods noted on each case page.
  • "Circuit cost" compares annualised fees at equivalent bandwidth and service level, excluding CPE and one-off installation.
  • "Cross-border data sync" compares measured transfer time of a fixed dataset over dedicated circuits versus the public internet.
  • Latency and jitter figures are committed only in the order; values shown are typical references, not a guarantee for every circuit.
Related cases

Related cases

Internet / AI A multinational AI application company (Singapore HQ · Shanghai R&D)

Cross-border AI Compute Circuits and Multi-cloud GPU Scheduling

The Shanghai R&D team trained on GPU clusters in Singapore and Tokyo, but moving 40 TB daily datasets over the public internet took 20+ hours and kept failing; China data-export rules required an auditable dedicated channel; GPU utilisation across the three sites sat at 35% with queues in one place and idle cards in another.

20h → 2.5h 40 TB dataset transfer
35% → 78% GPU utilisation
Manufacturing A foreign-invested automotive parts manufacturer (China region)

Auto-parts Manufacturer Multi-plant Smart Cloud and AI Inspection

Inter-plant MPLS was expensive and slow to scale, and ERP / MES moved to cloud with degraded experience; nightly data sync with German HQ took over six hours; manual visual inspection on the line missed defects and left no traceable quality data.

−34% WAN cost
6h → 50min Cross-border sync
Retail A national retail chain

Retail Chain Private AI Customer Service and Store Network Upgrade

1,800 stores ran on a single broadband line and POS / loyalty systems dropped at peak; 400 contact-centre agents searched 30+ policy and product documents by hand with a 6-minute average handling time; member data and conversations could not leave the company, ruling out public-cloud LLM APIs.

−91% Store outages
6min → 2.5min Average handling time

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