Robot model
TianGai-100
7nm GPGPU chip for AI training, released January 2021.
- Manufacturer
- Iluvatar CoreX
- Form factor
- other
- Maturity
- production
- Lifecycle
- active
The verified answer
As of Aug 2026, DEPLOY verifies TianGai-100, a other by Iluvatar CoreX (production). 1 source back the record.
Overview
7nm GPGPU chip for AI training, released January 2021. China's first domestically produced 7nm GPGPU, positioned competitively against the Nvidia A100 and AMD Instinct MI100. Used in cloud computing applications and received 230 million yuan in orders by September 2021.
Verified vs. claimed
- Maturity stage
- production(Full-scale production deployment with repeat customers.)
- Sources on file
- View all sources →
Data & sources
Web sources
1
1 source backing this record.View all →
Pricing
No verified price is on record for TianGai-100. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdAug 25, 2026
Added to the verified registry
Safety record
No incidents on record for TianGai-100.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Sources (1)
- Iluvatar CoreX · https://en.wikipedia.org/wiki/Iluvatar_CoreX
Common questions
What is TianGai-100?
How much does TianGai-100 cost?
Is TianGai-100 actually deployed in the real world?
Who makes TianGai-100?
Can you buy TianGai-100?
What are alternatives to TianGai-100?
How does TianGai-100 compare to 10Beauty Manicure System?
What is TianGai-100's maturity stage?
Where is TianGai-100 deployed?
Is TianGai-100 safe?
Methodology: Unreviewed · 1 source (no primary) · last reviewed 2026-08-25
Verification posture
Unreviewed
Low confidence
Review state
Stable
Last reviewed 2026-08-25
Maturity + lifecycle
Maturity stage: production
Lifecycle: active
Architectural position
Cohort: other
Sources by quality tier
- 1
- knowledge-base
- Knowledge base
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for TianGai-100.Machine-readable surfaces
- Markdown mirror: /models/tiangai-100.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/models/4728ec98-cbc9-48a2-b9f3-f918e5de6907
- Revision history: /models/tiangai-100/history
- Data documentation: /data
- Query this programmatically: Deploy MCP