Robot model
M1076 AMP
Mythic's M1076 Analog Matrix Processor delivers up to 25 TOPS in a ~3 W envelope using 76 analog compute tiles that store up to 80M weights and run matrix…
- Manufacturer
- Mythic AI
- Form factor
- other
- Maturity
- research
- Lifecycle
- active
- Website
- mythic.ai ↗
The verified answer
As of Aug 2026, DEPLOY verifies M1076 AMP, a other by Mythic AI (research). 1 source back the record.
Overview
Mythic's M1076 Analog Matrix Processor delivers up to 25 TOPS in a ~3 W envelope using 76 analog compute tiles that store up to 80M weights and run matrix multiplication without external memory, cutting power versus typical SoC/GPU edge inference.
Verified vs. claimed
- Maturity stage
- research(Lab-stage only; no commercial or public deployment reported.)
- Sources on file
- View all sources →
No verified deployments on file. DEPLOY tracks independently-sourced deployment evidence separately from manufacturer capability claims.
Key facts
Performance
Power
Compute tiles
Weight storage
Specs
Class
Power
Performance
Data & sources
Web sources
1
1 source backing this record.View all →
Pricing
No verified price is on record for M1076 AMP. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.
M1076 AMP on the deployment map
View the global mapWhere M1076 AMP is verified operating. Explore the deployment map by place and type.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdJun 24, 2026
Added to the verified registry
Safety record
No incidents on record for M1076 AMP.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Sources (1)
Common questions
What is M1076 AMP?
How much does M1076 AMP cost?
Is M1076 AMP actually deployed in the real world?
Who makes M1076 AMP?
Can you buy M1076 AMP?
What are alternatives to M1076 AMP?
How does M1076 AMP compare to 10Beauty Manicure System?
Is M1076 AMP a top other?
What is M1076 AMP's maturity stage?
Where is M1076 AMP deployed?
Is M1076 AMP safe?
Methodology: Verified · 1 source (no primary) · last reviewed 2026-06-28
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-06-28
Maturity + lifecycle
Maturity stage: research
Lifecycle: active
Architectural position
Cohort: other
Sources by quality tier
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for M1076 AMP.Recent coverage
M1076 AMP in third-party press
Attention vs reality over time
Media mentions per month (area) against verified deployment events (dots). A press spike over a flat deployment line is the hype gap, drawn over time.
In the press
Recent coverage mentioning M1076 AMP from third-party publications. Automatically surfaced; not part of the verified registry record.
Top 25+ AI Chip Makers: NVIDIA & Its Competitors - AIMultiple
<a href="https://news.google.com/rss/articles/CBMiTkFVX3lxTE9UYlQtNjVDT09maWxpR0pGbEU0MGxYaDdad1VzYnp6cXBTcjc4RlY0TXJ0SVVvb0NTU19DdkVCbFFOVjk1MUNmdUg4UjhEdw?oc=5"…
Mythic Raises 3 Million to Bring Its Next-Generation Analog Computing Solution to Market
Mythic AI raised 3M in new funding to bring its next-generation analog compute-in-memory AI processor to market.
Mythic: How An Analog Processor Could Revolutionize Edge AI - Forbes
<a…
Mythic Takes Edge AI to the Next Level with Analog Matrix Processor - Engineering.com
<a…
Mythic Expands Product Lineup with New Scalable, Power-Efficient Analog Matrix Processor for Edge AI Applications - PR Newswire
<a…
Mythic launches analog AI processor that consumes 10 times less power - VentureBeat
<a…
Mythic AI Targets the Edge AI Market with Its New Smaller, More Power-Efficient M1076 Chips - HPCwire
<a…
Machine-readable surfaces
- Markdown mirror: /models/mythic-m1076.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/models/31333811-16ca-4036-ba4f-0878576ec99a
- Revision history: /models/mythic-m1076/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
M1076 AMP draws attention at the 42nd percentile but verifies reality at the insufficient-data level among other robots.
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: Aug 17, 2026