Announced commitments against government budgets and reported disbursements, by country.
Sovereign programme record · Thailand · 2022–2027
Thailand: National AI Strategy and Action Plan (2022-2027) + ThaiSC/LANTA + ThaiLLM: — announced · disbursement not on record
Every figure below derives from the same record the dashboard reads — this page is the programme as a citable object: the reconciliation with its denominator stated, the decomposition with its residual, and the dated evidence behind each claim.
Announced—
No headline figure on record.
Government-only floor—
Not decomposed — the record does not separate government money from the headline.
Committed—
No commitment figure on record.
Disbursed—
No disbursement figure on record.
The reconciliation. Four figures on one dollar scale, each bar a share of the largest. The reality ratio above divides disbursed by the announced headline, and the field it divides by is stated so the division is reproducible. A hatched track is an absent figure carried with its reason — a government that does not publish disbursement is a finding, not a zero. Tildes mark estimated figures.
Pipeline stage: Deployed (primary-verified evidence) — 704 accelerators tracked. The stage is a Scrutica derivation (tier 4), computed from the figures above, never asserted by the source.
Hardware on record
Model
Count
Status
Owner
NVIDIA A100
704
operational
ThaiSC / NSTDA (LANTA, deployed Nov 2022)
External dependence
US technology: high · TSMC fabrication: high · NVIDIA hardware: high · BIS jurisdiction reach: high. Dependence levels are Scrutica classifications (tier 4) from the programme’s own disclosures — which hardware it buys, where it fabricates, and whose export jurisdiction its supply chain crosses.
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.
Thailand's sovereign-AI compute position rests on three verified pillars. (1) ThaiSC, the NSTDA Supercomputer Center, operates LANTA: a 346-node heterogeneous HPE Cray EX system, 8.15 PFlop/s peak, 176 GPU nodes with 704 NVIDIA A100 GPUs, 160 CPU nodes (20,480 cores), 10 high-memory nodes, 200 Gbps HPE Slingshot interconnect — operational since November 2022 (ThaiSC's own dating), located at Thailand Science Park, Pathum Thani. TOP500 70th at debut (2022, top-ranked in ASEAN at the time) declining to 199th (2025) per OECD.AI. (2) The National AI Strategy and Action Plan (2022-2027) anchors the program; its official portal (ai.in.th) lists ThaiSC/LANTA as a national AI resource. (3) ThaiLLM, launched 2026-04-01 and branded by NSTDA as 'A Sovereign AI Foundation for the Nation': Thai-language foundation models (8B and 30B parameters, trained on >100B tokens of Thai data) running on ThaiSC infrastructure, free via thaillm.or.th, developed by MDES + BDI + MHESI + NECTEC with DEF funding. This is a genuine government-owned compute + sovereign-model program, structurally distinct from commercial hyperscaler tenancy. No consolidated budget figure is published at tier 1-2.
What this record flags about itself · 5
LANTA's hardware vintage is November 2022, not 2026: ThaiSC's own resource page dates the system 'LANTA HPC (Nov 2022 - Present)', and the NSTDA article of 2026-02-27 describes that existing system rather than new hardware. The NVIDIA announcement of 2021-12-29 covering a 704-A100 NSTDA system is consistent with LANTA's procurement-to-deployment timeline: the accelerator count is identical and deployment followed in November 2022. That same-system identification rests on the fit of count and timeline; the NVIDIA release itself was not re-fetched when these figures were recorded on 2026-07-18.
No consolidated program budget figure was found at tier 1 or 2, so no announced figure is recorded. ThaiLLM is funded via the Digital Economy and Society Development Fund (DEF) together with MDES and MHESI collaboration, with amounts undisclosed in the NSTDA announcement.
Storage-figure variance between two official pages: thaisc.io states '10 PB of high-performance parallel storage' plus 945TB NVMe (Cray ClusterStor E1000); the National AI Strategy portal ai.in.th states 'Cray ClusterStor E1000 12 PB'. Both are operator/government pages; unresolved; storage is not a staged metric — recorded per contradiction-surfacing principle.
The 'high' rating for BIS jurisdiction reach is a Scrutica analytic classification, not a sourced statement: the sovereign fleet is entirely US-origin NVIDIA silicon, so BIS re-export jurisdiction attaches to the substrate.
ThaiLLM/ThaiSC is distinct from the commercial ByteDance-BOI hyperscaler-tenancy arrangement already represented in the facilities substrate — do not conflate the sovereign program with commercial data-center buildout.
