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 Oct 2026, DEPLOY verifies TianGai-100, a other by Iluvatar CoreX (production). 2 sources 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 →
Key facts
TianGai 100 card spec
Software and model coverage
Data & sources
Web sources
2
2 sources 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 (2)
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 ASML EUV TwinScan?
Is TianGai-100 a top other?
What is TianGai-100's maturity stage?
Where is TianGai-100 deployed?
Is TianGai-100 safe?
Methodology: Verified · 2 sources (no primary) · last reviewed 2026-10-03
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-10-03
Maturity + lifecycle
Maturity stage: production
Lifecycle: active
Architectural position
Cohort: other
Sources by quality tier
- 1
- knowledge-base
- Knowledge base
- 1
- unclassified
- Unclassified source
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
Reality vs attention
Not enough verified signal yet to place TianGai-100 against other robots. Reality and attention percentiles publish once the underlying record clears its data floor.
6-month trend
Analysis
Thin deployment record; scale validation still in progress.
Signal flags
Dimension breakdown
Verified signal
Attention (reach, not merit)
DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.
DEPLOY Indices — verified vs claimed
Last computed: Oct 9, 2026