कंपनी ब्लॉग के बारे में Mingjiada Electronics Supplies Chips for Artificial Intelligence and Robotics: AI Processors, AI SoC Chips, AI Vision Chips

Mingjiada Electronics’ AI and Robotics Chip Supply: A Comprehensive Analysis of Product Models

I. The AI and Robotics Industries Are Experiencing an Explosion in Chip Demand

In 2026, the artificial intelligence and robotics industries are undergoing unprecedented rapid development. From the training and inference of large language models to the mass production and deployment of humanoid robots, and from edge computing to embodied intelligence, demand for AI chips and specialised robotics chips continues to rise. According to industry data, by 2026, inference computing power will account for two-thirds of total AI computing capacity, and the domestic AI computing power market will enter a phase of structural differentiation.

Shenzhen Mingjiada Electronics Co., Ltd., established in 1996, is a globally renowned authorised independent distributor of electronic components. It has long distributed products from over 500 internationally renowned semiconductor manufacturers and maintains a stock of more than 2 million part numbers, covering the full range of product categories including MCUs, FPGAs, power semiconductors, memory, sensors, AI chips and 5G communication ICs. Targeting the two core application scenarios of artificial intelligence (AI) and robotics, Mingjiada Electronics has established a full-stack supply capability ranging from AI computing chips and perception sensors to motion control MCUs.

II. Core AI Chip Models Supplied by Mingjiada

2.1 NVIDIA Jetson Series – The Core of Edge AI and Robotics Computing Power

Mingjiada Electronics supplies the NVIDIA Jetson series of robotics processor chips, covering the full spectrum of computing power requirements from flagship to entry-level. Key models include:

Jetson AGX Thor: A flagship humanoid robot computing platform, delivering up to 275 TOPS of computing power

Jetson AGX Orin: A high-performance edge AI processor suitable for robots, drones and smart medical devices

Jetson Orin NX / Jetson Nano: Lightweight edge AI inference, suitable for smart cameras and autonomous machines

In terms of data centre-grade AI chips, Mingjiada supplies the Tesla A100, H100 and H200, which are equipped with Tensor Cores to support large language model training and high-performance scientific computing.

2.2 Intel AI Processors

Xeon Scalable Series (Platinum/Gold): Features the built-in AMX AI acceleration instruction set, optimised for data centre AI inference and training performance

Movidius Myriad X VPU: A dedicated visual processing unit, designed for embedded vision devices to enable low-power image recognition and analysis

2.3 AMD AI Processors and Accelerators

Ryzen AI Max+ 395 / Ryzen AI 7 350: Combining CPU and NPU architectures, designed for on-device AI computing in embedded smart devices

Instinct MI300X: A top-tier AI accelerator card for data centres, suitable for cloud computing and AI research institutions

2.4 Allwinner Technology AI SoC Chips

Mingjiada Electronics has long supplied the full range of Allwinner Technology AI SoC chips, covering all scenarios from entry-level to high-performance applications:

Smart Vision AI SoCs:

V853: Manufactured using a 22nm process, integrating dual CPUs (Arm Cortex-A7 and RISC-V E907) with a built-in 1 TOPS NPU; supports mainstream deep learning frameworks such as TensorFlow and Caffe

V821: A low-power chip specifically designed for AI glasses, featuring a dual RISC-V heterogeneous architecture and supporting facial and human figure recognition

Industrial-grade AI SoCs:

T736MX-HN3: 12nm process, octa-core big.LITTLE architecture (dual-core A76 + hexa-core A55), 3 TOPS NPU, supports 8K video decoding, and is optimised for edge computing and industrial HMIs

T536MX-CEN2: Quad-core A55 architecture, integrated 2 TOPS NPU, equipped with 4-channel CAN-FD bus interfaces, specifically designed for smart industry and machine vision inspection

T153MX-BCX: Quad-core A7 processor, integrated ISP image processing unit, cost-effective industrial AI chip, supporting a long supply lifecycle of 10–15 years

AI SoCs for Robotics:

MR527: Octa-core Arm Cortex-A55 CPU, integrating a GPU, NPU and MCU to form a complete heterogeneous computing architecture, widely suitable for applications such as robotic vacuum cleaners and quadruped robots

MR536MX-N3Z: 4-core A55 architecture, NPU computing power up to 3 TOPS, supports Transformer models and over 130 operators

MR813: Quad-core A53 CPU paired with an Imagination PowerVR GE8300 GPU, supports 1080p@60fps encoding, with the built-in GPU providing efficient support for SLAM/VSLAM algorithms

2.5 Ambarella Edge AI Vision Chips

Mingjiada supplies the full range of Ambarella CVflow architecture AI SoCs. The flagship model, the CV7, utilises Samsung’s 4nm process, supports parallel processing of multiple 8Kp60 video streams, and integrates a quad-core Arm Cortex-A73 CPU, with power consumption reduced by over 20 per cent compared to the previous generation. It is widely used in drones, automation systems and AI vision gateways.

2.6 Rockchip RK3588

A flagship AIoT processor manufactured using an 8nm process, featuring an octa-core CPU architecture paired with a 6 TOPS NPU. It supports 8K video decoding and multi-screen display, and is suitable for mid-to-high-end applications such as edge computing, smart cockpits and industrial HMIs.

III. Mingjiada’s Range of Core Robot Chips

The operation of an industrial robot or humanoid robot requires the precise coordination of AI computing chips (the ‘brain’), motion control MCUs (the ‘cerebellum’), sensors (the ‘sensory nerves’) and power drive devices (the ‘muscles’). Mingjiada Electronics covers the full robot industry chain with its chip supply.

3.1 Motion Control MCUs

GigaDevice GD32 Series:

GD32H77R: A high-performance real-time control MCU specifically designed for compact servo joints, suitable for robot joint drives and six-axis collaborative robotic arm control solutions

GD32F50MxxG: A highly integrated motor control MCU featuring a 252 MHz Cortex-M33 core, with a three-phase gate pre-driver and four-channel operational amplifiers integrated on a single die

3.2 Robot Perception Sensors

Bosch MEMS Sensors:

Barometric pressure sensors: BMP280, BMP388 and BMP581 series, used for altitude hold control and flight stability monitoring in drones

BMI260: Ultra-low-power 6-axis IMU (three-axis accelerometer + gyroscope), compact 2.5 × 3.0 mm package, suitable for robot SLAM and indoor navigation

BMI330: Supports a wide temperature range of –40 to 105 °C, high vibration resistance, suitable for industrial robots and equipment operating in harsh environments

STMicroelectronics (ST) accelerometers:

LSM9DS1: Nine-axis inertial measurement unit (9-DOF IMU), featuring a single-chip integration of a three-axis accelerometer, three-axis gyroscope and three-axis geomagnetic magnetometer; a classic solution for UAV flight control and inertial navigation

LIS344: High-performance three-axis linear accelerometer in an ultra-compact 4 mm × 4 mm package, widely used in robotic attitude control

TI Millimetre-Wave Radar Sensors:

AWR1843 / AWR2243: Support 4D point cloud imaging, with a resolution of up to ±1° azimuth / ±2° pitch

IWR1443 / IWR1642: Industrial-grade millimetre-wave radars, suitable for robot obstacle avoidance and industrial automation

ADI Inertial Measurement Units:

ADIS16505: Precision micro-MEMS IMU, integrating a three-axis gyroscope and a three-axis accelerometer, providing real-time measurement of angular rate and linear acceleration; serves as a core sensing component for robot attitude estimation, motion compensation and autonomous navigation

ADXL362: Ultra-low-power MEMS accelerometer, suitable for robot condition monitoring

ToF Depth Sensors:

VL53L0X / VL53L1X / VL53L8CX: High-precision time-of-flight (ToF) distance sensors; the VL53L1X features an extended measurement range of 0–4 m, suitable for robotic obstacle avoidance and smart wearables

3.3 Storage and Communication Chips

Mingjiada Electronics simultaneously supplies the LPDDR4/LPDDR5 memory, UFS 3.0/eMMC 5.1 storage and tri-mode Wi-Fi/Bluetooth/Zigbee IoT chips required for robots, ensuring comprehensive BOM configuration capabilities for robotic systems.

IV. Key Considerations for Selecting Mingjiada Electronics Products

The ‘brain’ of humanoid robots: NVIDIA Jetson AGX Thor / Allwinner MR527

Vacuum cleaners/logistics robots: Allwinner MR536MX-N3Z / MR813

Industrial machine vision: Allwinner T536MX-CEN2 / T736MX-HN3

Robot Joint Control: GigaDevice GD32H77R

Robot Posture Sensing: Bosch BMI260 / ST LSM9DS1

Robot Obstacle Avoidance and Navigation: TI IWR1443 / ST VL53L1X

Edge AI Vision: Ambarella CV7 / Rockchip RK3588

V. Mingjiada Electronics’ Core Advantages

Guarantee of Genuine Manufacturer Products: Certified to the ISO 9001:2014 Quality Management System; we solemnly pledge that “if labelled as genuine, it is absolutely genuine”

Extensive Stock on Hand: Coordinated operations across dual warehouses in Shenzhen and Hong Kong, with over 2 million stock items and rapid delivery within 1–3 days

Global Supply Network: Branches established in Hong Kong, Japan, Russia, Taiwan and other locations, building a global electronic component supply network

VI. Frequently Asked Questions (FAQ)

Q1: Which brands of AI chips does Mingjiada Electronics supply?

A: Mingjiada has long supplied AI chips from brands such as NVIDIA, Intel, AMD, Allwinner Technology, Ambarella and Rockchip, covering all scenarios including data centre training, edge inference and edge intelligence.

Q2: Can Mingjiada provide a one-stop BOM (Bill of Materials) service for robotics projects?

A: Yes. Mingjiada supplies all components required for robotics, including AI SoCs, motion control MCUs, IMU sensors, millimetre-wave radars, memory chips, power management ICs and power devices, and offers a one-stop BOM fulfilment service.

Q3: Do Mingjiada’s AI and robotics chips support small-volume procurement?

A: Yes. Mingjiada offers both small-batch sample supply and high-volume stock delivery to meet the needs of different stages, from R&D validation to mass production.

Q4: For which robotics applications is Allwinner Technology’s MR527 chip suitable?

A: The MR527 is an octa-core, high-performance chip designed specifically for robotics. It is widely used in applications such as robotic vacuum cleaners, quadruped robots and logistics delivery robots, which place high demands on edge AI computing power.

Contact Details:

Contact: Mr Chen

Tel: +86 13410018555

Email: sales@hkmjd.com

Website: https://www.integrated-ic.com/

Address: Rooms 1239–1241, New Asia Guoli Building, Zhenzhong Road, Futian District, Shenzhen