Sovereign AI
Sovereign programme record · Thailand · 2022–2027
Thailand: programme funding and hardware
Thailand: National AI Strategy and Action Plan (2022-2027) + ThaiSC/LANTA + ThaiLLM
The reconciliation
This record has no dollar amount for these funding stages. Programme details and source amounts appear below.
Operating compute / delivered hardware. Reported operational or delivered: 704 NVIDIA A100 (physical hardware).
Hardware on record
| Model | Count | Status | Organisation / role |
|---|---|---|---|
| NVIDIA A100 | 704 | Operational | ThaiSC / NSTDA (LANTA, deployed Nov 2022) |
Physical hardware: LANTA’s A100 partition: 176 nodes with four GPUs each. Primary source | |||
External dependence
NVIDIA hardware: High · US technology: High. These are editorial assessments based on the programme’s procurement disclosures.
Named partners: NSTDA (National Science and Technology Development Agency), ThaiSC (NSTDA Supercomputer Center), NECTEC, MHESI (Ministry of Higher Education, Science, Research and Innovation), MDES (Ministry of Digital Economy and Society), Big Data Institute (BDI), Digital Economy and Society Development Fund (DEF), HPE (LANTA vendor), NVIDIA.
ThaiSC, NSTDA’s supercomputing centre, operates LANTA at Thailand Science Park in Pathum Thani. Its 176 GPU nodes contain 704 NVIDIA A100s; another 160 CPU nodes and ten high-memory nodes support scientific computing. The 346-node system has 8.15 PFlop/s peak performance and a 200 Gbps Slingshot interconnect. In April 2026, NSTDA announced the release of ThaiLLM’s 8B- and 30B-parameter models, trained on more than 100B Thai tokens and served on ThaiSC infrastructure. The project brings together MDES, BDI, MHESI and NECTEC, with support from the Digital Economy and Society Development Fund.
Data-quality caveats on this record · 3
- ThaiSC dates LANTA’s operation to November 2022. NSTDA’s February 2026 article describes this existing system.
- NSTDA’s ThaiLLM announcement names the funding body but gives no funding amount. The cited program sources do not supply a consolidated budget.
- ThaiSC lists 10 PB of parallel storage plus 945 TB of NVMe storage. The earlier research recorded 12 PB from the National AI Strategy portal; that discrepancy remains unresolved.
The evidence trail
5 cited sources- NSTDA: LANTA hardware specification, February 2026 — Primary source · accessed 2026-07-18
- ThaiSC: LANTA hardware, location and November 2022 operational date — Primary source · accessed 2026-07-18
- NSTDA: ThaiLLM release, model sizes, training corpus and funding body, April 2026 — Primary source · accessed 2026-07-18
- AI Thailand: national computing resources — Primary source · accessed 2026-07-18
- OECD.AI: LANTA policy-initiative record and historical rankings — Research database · accessed 2026-07-18
Machine accessThe same record, machine-readable: the evidence-trail feed and the derivation-chain export.