Overview
Taiwan AI Cloud (Taiwan Web Service Corporation, an ASUS subsidiary) is a commercial AI-supercomputing cloud running Taiwania and newer H100/AFS PODs, renting GPU/HPC compute pay-as-you-go from around NTD$58/GPU-hour to enterprises since 2019.
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
Key facts
Type
Headquarters
Parent
Compute
Primary accelerator
Data & sources
Web sources
2
2 sources backing this record.View all →
Safety record
No incidents on record for Taiwan AI Cloud.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Full safety record: incidents, sourcing, and exposure data →
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdAug 31, 2026
Added to the verified registry
Sources (2)
- AI Infrastructure Solution · https://tws.twcc.ai/en/ai-infrastructure-solution-and-endorsement/
- GPU HPC Service (from NTD$58/GPU/hr) · https://www.twcloud.ai/en/products-and-services/gpu-hpc-service/
Common questions
What is Taiwan AI Cloud?
What does Taiwan AI Cloud make?
Is Taiwan AI Cloud publicly traded?
How can I invest in Taiwan AI Cloud?
Where is Taiwan AI Cloud headquartered?
Who owns Taiwan AI Cloud?
Is Taiwan AI Cloud safe?
Methodology: Verified · 2 sources (no primary) · last reviewed 2026-08-31
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-08-31
Sources by quality tier
- 2
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for Taiwan AI Cloud.Machine-readable surfaces
- Markdown mirror: /companies/taiwan-ai-cloud.md
- RSS feed: /companies/taiwan-ai-cloud/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/89c982a0-003d-428c-a923-6a2324511ba1
- Revision history: /companies/taiwan-ai-cloud/history
- Data documentation: /data
- Query this programmatically: Deploy MCP