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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…

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Manufacturer
Mythic AI
Form factor
other
Lifecycle
active
Website
mythic.ai ↗

Verified profile

  • 1

    Sources on record

  • 0

    Tracked changes

  • Updated recently

    Last verified change

How we verify →

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

Verified deployments
None on file
Sources on file
1 source, view all

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)

  1. https://mythic.ai/products/m1076-analog-matrix-processor/

Common questions

What is 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 multiplication without external memory, cutting power versus typical SoC/GPU edge inference.
Who makes M1076 AMP?
M1076 AMP is made by Mythic AI, based in Austin, TX, USA, founded in 2012.
Where is M1076 AMP deployed?
No verified deployments of M1076 AMP are currently on the DEPLOY registry. DEPLOY records deployments only when verified at a named site with a primary source; absence may reflect pre-deployment, research, or manufacturer-internal use.
Is M1076 AMP safe?
M1076 AMP has no incidents on record in the DEPLOY registry. This does not constitute a safety guarantee; it reflects the incidents DEPLOY has tracked and verified to date.
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

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

Top 25+ AI Chip Makers: NVIDIA & Its Competitors - AIMultiple

Jun 25, 2026

Mythic: How An Analog Processor Could Revolutionize Edge AI - Forbes

Jul 30, 2022

Mythic Takes Edge AI to the Next Level with Analog Matrix Processor - Engineering.com

Jun 17, 2021