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SOVEREIGN AI INFRASTRUCTURE

Your agency wants AI capability, but policy is absolute: citizen data does not leave the country, and preferably not your premises. Cloud AI fails that test. You need the compute, network and platform to run models on-shore, on infrastructure you control.

WHAT YOU WILL HAVE AT THE END

  • On-premise AI infrastructure — data residency: Thailand, physically
  • High-performance Ethernet fabric sized for your model workloads
  • Air-gap capable design where policy requires it
  • Open-standards stack — no per-token dependency on foreign clouds
  • Operations runbook your own staff can run, with training
  • Documented architecture that survives an audit

REFERENCE DESIGN

REFERENCE DESIGN (PDF) ↓
YOUR PERIMETER — DATA RESIDENCY: THAILANDSPINE 1SONiCSPINE 2SONiCLEAF 1LEAF 2LEAF 3AIR-GAP CAPABLE MGMTMGMT PLANEEGRESSCONTROLLEDENUMERATEDNO FOREIGN CLOUDISOLATION VERIFIED AT ACCEPTANCEREFERENCE DESIGN
AI fabricAS7726-32X · DCS-series 400Gshares the AI-fabric reference design, hardened
Campus integrationECS5550-54X · ECS4650-54P
NOSSONiC
IsolationAir-gapped management plane; physical segregation designdesign element, not a SKU

WHAT WE DELIVER

  1. 01Policy + workload assessment (with your security officers)
  2. 02Engineered design + BOM
  3. 03Hardware supply
  4. 04Deployment inside your perimeter
  5. 05Acceptance incl. isolation verification
  6. 06Staff training and runbook handover
  7. 07Support tiers compatible with your access policies

SIZING & TIMELINE

BANDSCALETIMELINE
Spilot: ≤16 GPUs, one system4–6 weeks
Mdepartmental: ≤128 GPUs8–12 weeks
Lagency-scale platform12–24 weeks, phased
  • Outright purchase (budget-year friendly phasing)
  • เช่าใช้ 36-month service agreement
  • TOR/spec support for e-bidding with sovereignty requirements written correctly

PROVEN IN THE FIELD

Public sovereign-AI references on this platform are still rare worldwide — we say so plainly. The underlying fabric is the same open Ethernet running Edgecore's public AI and data-centre deployments; see the full register.

MANUFACTURER PEDIGREE
  • SAKURA Internet (SAKURAONE)JAPAN · 2025SONiC on Edgecore AIS800-64O, 800 GbE rail-optimized leaf-spine with RoCEv2; 100 nodes x 8 NVIDIA H100SOURCE ↗
  • HyperVergeINDIA · 2026SONiC on Edgecore switches, RoCEv2 lossless RDMA fabricSOURCE ↗
  • IPNexiaBELGIUM · 2026Broadcom Enterprise SONiC on Edgecore, spine-leaf, ZTP + NetBox/Ansible automationSOURCE ↗

QUESTIONS BUYERS ASK

Does any component phone home?
The design enumerates every outbound dependency; air-gapped variants remove them and the acceptance test verifies isolation.
Which models can we run?
Open-weight models sized to your hardware; model selection is part of the assessment, stated without vendor commitments.
Who sees our data during deployment?
Your data never needs to leave your control; deployment works on infrastructure, not datasets, and NDAs plus your clearance process govern access.
Can our staff operate it long-term?
Yes — training and runbooks are named deliverables; managed support is optional, not required.
How is this different from a cloud tenancy marketed as sovereign?
Physical control: your premises, your keys, your network. The design makes that inspectable rather than contractual.
PDPA implications?
On-shore processing simplifies the PDPA posture materially; we document data-flow diagrams your DPO can file.
Request a sovereign AI consultation →