Specifications

Product

MT200 series industrial edge AI box

AI Performance

24 to 100 TOPS (Dense) / 200 TOPS (Sparse)

Module Options

SNM979 (QCS7790S), SNM970 (QCS8550), SNM982 (QCS8625)

Flagship Module

SNM983 (Qualcomm Dragonwing IQ-9075)

Compute Ladder

Swap core AI modules to scale 24 to 100 TOPS

Sparse Compute

Up to 200 TOPS with SNM983 sparsity

LLM Support

Runs 7B-class generative AI models on-device

OS / SDK

Linux and Ubuntu-based development

Management

Remote debugging, model deployment, FOTA updates

Toolchain

Package management and low-code workflows

Deployment

Out-of-the-box evaluation, pilot and production

Form Factor

Compact deployable industrial chassis

Target Applications

Machine vision, robotics, industrial control, intelligent transportation

Overview

The MeiG Smart MT200 is an industrial-grade edge AI box that provides a flexible compute platform from 24 TOPS to 100 TOPS (Dense) and up to 200 TOPS (Sparse). Its modular architecture accepts a family of Qualcomm-based AI modules — the SNM979 (QCS7790S), SNM970 (QCS8550), SNM982 (QCS8625) and the flagship SNM983 (Qualcomm Dragonwing IQ-9075) — letting integrators scale performance by swapping the core module.

Integrated into a compact industrial chassis, the MT200 targets teams that want a complete AI system for evaluation, development, pilots and production. It runs Linux and Ubuntu-based toolchains with remote debugging, model deployment, FOTA updates and package-management workflows, and has demonstrated on-device inference of 7B-class large language and vision-language models such as Qwen and Llama without cloud connectivity. Target uses include machine vision, robotics, industrial control and intelligent transportation.

Key Benefits

Flexible compute ladder: scale 24-100 TOPS by module swap. Local GenAI: runs 7B-class LLMs on-device. Production-ready: Linux/Ubuntu with remote management and FOTA.

Applications

Industrial machine vision, robotics and AMRs, industrial control, intelligent transportation, security-focused AI assistants, edge LLM inference.

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