Overview
Shanghai-listed AI-chip company. MLU (Machine Learning Unit) line covers cloud training and inference; MLU370 is the current-generation flagship. Founded by researchers from the Chinese Academy of Sciences.
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
Data & sources
Web sources
1
1 source backing this record.View all →
Cambricon Technologies on the deployment map
View the global mapCambricon Technologies has no verified deployments on the DEPLOY registry yet. Explore the deployment map by place and type.
No verified deployments for Cambricon Technologies on the DEPLOY record yet. Track Cambricon Technologies to know the moment the first one is verified.
Safety record
No incidents on record for Cambricon Technologies.
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 24, 2026
Added to the verified registry
Sources (1)
Common questions
What is Cambricon Technologies?
What does Cambricon Technologies make?
Where is Cambricon Technologies headquartered?
Is Cambricon Technologies a top robotics company?
When was Cambricon Technologies founded?
Is Cambricon Technologies safe?
Methodology: Unreviewed · 1 source (no primary) · last reviewed 2026-08-24
Verification posture
Unreviewed
Low confidence
Review state
Stable
Last reviewed 2026-08-24
Sources by quality tier
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for Cambricon Technologies.Machine-readable surfaces
- Markdown mirror: /companies/cambricon.md
- RSS feed: /companies/cambricon/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/3543d707-eca0-4b56-b51a-f07bf535af41
- Revision history: /companies/cambricon/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
Not enough verified signal yet to place Cambricon Technologies against peers. Reality and attention percentiles publish once the underlying record clears its data floor.
Analysis
Limited public visibility and press coverage relative to peers.
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: Aug 25, 2026