Reference
·Supporting source
·PreviewGPU-as-a-service share of Thai AI workload (2027 modelled)
~18-22%
Modelled share of Thai AI workload spend captured by GPU-as-a-service (rental and dedicated) versus hyperscaler colocation and captive on-prem. True IDC, NTT, ST Telemedia, GULF Edge anchors.
Figure in context
Modelled share of Thai AI workload spend captured by GPU-as-a-service (rental and dedicated) versus hyperscaler colocation and captive on-prem. True IDC, NTT, ST Telemedia, GULF Edge anchors.
Modelled share of Thai AI workload spend captured by GPU-as-a-service (rental and dedicated) versus hyperscaler colocation and captive on-prem. True IDC, NTT, ST Telemedia, GULF Edge anchors.
Time scope
FY2027 modelled
Source basis
Supporting source
Interpretation notes
What this tells you
Modelled share of Thai AI workload spend captured by GPU-as-a-service (rental and dedicated) versus hyperscaler colocation and captive on-prem. True IDC, NTT, ST Telemedia, GULF Edge anchors.
What not to do with it
Use the linked report for interpretation and keep basis differences explicit.
Related figures
Adjacent numbers that add context without drowning the value.
Thailand datacenter operating IT load (2024 baseline)
Structure Research, operator disclosures
Thailand datacenter operating IT load (2027 base case)
Structure Research, operator phasing, BOI Section 8 pipeline
Hyperscaler combined Thailand commitment
AWS, Google Cloud, Microsoft press releases
Hyperscale data centre capex per MW IT load (Thailand 2026)
Operator filings, EPC tender summaries
New build PUE target band (Bangkok hyperscale 2026-27)
Operator sustainability disclosures, MDES certifications
BoT virtual banking licence winners with GPU-cluster commitments
Bank of Thailand virtual bank licence press, winners' disclosures
Report context
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