Blog về công ty Mingjiada Electronics High-Priced Recycling of Robot AI Chips | NVIDIA/AMD/ST/Allwinner Full Range | On-the-spot Valuation in Shenzhen

Shenzhen Mingjiada Electronics Co., Ltd. (hereinafter referred to as ‘Mingjiada Electronics’) —Established in 1996, the company has specialised in the distribution and recycling of electronic components for nearly three decades. Headquartered in Shenzhen, it operates branches and smart warehouses in Hong Kong, Japan, Russia, Taiwan and other locations—is now offering long-term, high-value cash purchases worldwide for the full range of AI chips across three key sectors: humanoid robots, quadruped robots and surgical robots, helping enterprises realise the value of high-value inventory assets and accelerate cash flow.

I. Background to the Acquisition: The Boom in Physical AI, with Robot Chips Becoming ‘Hard Currency’

According to data from the semiconductor industry research organisation Yole Group, NVIDIA ranks first in the robotics SoC market in 2025 with a 69 per cent market share. In the first half of 2026, global shipments of humanoid robots reached 22,000 units. Driven by the relentless pursuit of stability in mass production, the demand for chips in robotics has evolved from merely being ‘sufficient’ to requiring ‘tailor-made’ solutions, leading to a significant surge in the edge computing chip sector.

A single full-sized humanoid robot incorporates nearly 100 MCUs (including the main body and dexterous hands). Chip costs are estimated to account for between 5 per cent and 10 per cent of the total cost of the robot. Rapid technological iteration also means that a large number of high-end chips from previous generations or those in excess inventory face the risk of obsolescence. Leveraging nearly 30 years of industry experience and substantial financial strength, Mingjiada Electronics is conducting a global acquisition of AI chips, aiming to help enterprises resolve the challenges of excess inventory and residual value management caused by technological generational shifts.

II. Key Acquisition Categories

(1) AI Chips for Humanoid Robots

Humanoid robots must simultaneously process multimodal large-scale models (VLA), visual inference, motion planning algorithms and real-time joint control, placing extremely high demands on chips in terms of computing power, bandwidth and low latency.

Mingjiada focuses on acquiring the following core chips for humanoid robots:

1. ‘Brain’ Level — AI Processors and GPUs

NVIDIA: Comprehensive acquisition of the Jetson series of edge computing modules — including Jetson Thor, Jetson AGX Orin, Jetson Orin NX and Jetson Xavier NX — as well as data centre-grade GPU accelerator cards such as the H100, A100, H800, A800, H200 and GH200

AMD (Advanced Micro Devices): Acquisition of the EPYC series of server CPUs, the Ryzen AI series of APUs (including the Ryzen AI 400 series and AI Max+ 395, amongst others), and the Instinct series of AI accelerators (MI250, MI300X, etc.)

Intel: Specifically acquiring the Gaudi series of AI training processors (Gaudi-2, Gaudi-3), Xeon Scalable processors and Movidius VPU vision processing units

2. The ‘cerebellum’ and joint control layer — high-performance MCUs and motor drivers

ST (STMicroelectronics): STM32N6 series (with built-in Neural-ART accelerator), STM32H7/G4 series and SPC5 series automotive-grade MCUs

TI (Texas Instruments): C2000™ series real-time MCUs (TMS320F2838x, etc.), Jacinto TDA4 processors (for ADAS and robotics applications)

Infineon: AURIX™ TC3xx/TC4xx series multicore MCUs

NXP: i.MX 8/9 series application processors, S32 series automotive gateway and domain controller chips

Renesas: RA8 series AI-accelerated MCUs (with integrated Arm Ethos-U55 NPU), RZ series vision AI MPUs

GigaDevice: GD32H7 series and highly integrated motor driver SoCs

3. ‘Perception’ and ‘Interaction’ layers – smart sensors and signal chain chips

Sony: IMX500 series (logically stacked smart CMOS sensors with integrated NPU), IMX series image sensors

TI (Texas Instruments), ADI (Analog Devices): Automotive-grade BMS chips, ADAS processors and high-precision ADCs

Ambarella: CVflow® series AI vision processors (CV72S, CV22FS, etc.)

4. “Connectivity” and “Communication” Layer — High-speed wired/wireless connectivity chips

Broadcom: StrataXGS series switch chips, BCM series PHY transceivers

Qualcomm: Snapdragon Ride/Cockpit platforms (SA8295P, SA8155P, etc.)

(II) AI Chips for Quadruped Robots

Quadruped robots have a continuously growing demand for edge AI computing power in core functional modules such as SLAM navigation, visual obstacle avoidance and motion decision-making.

Mingjiada focuses on acquiring the following quadruped robot chips:

Allwinner: MR527 octa-core high-performance AI chip specifically designed for robots (8×Arm Cortex-A55 + 2 TOPS NPU + Mali-G57 GPU), widely used in high-end smart devices such as quadruped robots and robotic vacuum cleaners; MR813 quad-core high-performance AI processor specifically designed for robots

NVIDIA: Embedded computing modules such as the Jetson AGX Orin and Jetson Xavier NX

Rockchip: Domestic edge computing chips such as the RK3588 and RK3576

Quectel: The SH602HA-AP computing module, specifically designed for robotic devices such as quadrupedal robots

(3) AI chips for surgical robots

Surgical robots impose extremely stringent requirements on chips in terms of high reliability, functional safety, deterministic control and near-zero latency. A single surgical robot may require its CPU to run dozens or even hundreds of concurrent agent threads simultaneously.

Mingjiada focuses on acquiring the following surgical robot chips:

NVIDIA: IGX Thor series — designed specifically for industrial-grade, high-reliability scenarios, meeting the functional safety requirements of collaborative robots and surgical robots

AMD (Advanced Micro Devices): Ryzen AI Embedded X100 series — integrating up to 16 Zen 5 CPU cores, an RDNA 3.5 architecture GPU, a low-power NPU and a unified memory architecture, capable of simultaneously processing image perception, AI inference and real-time control; targeted at applications such as humanoid robots, industrial automation and surgical robots

Xilinx/AMD: Zynq UltraScale+ MPSoC (ZU Series), Kria SOM modules

TI (Texas Instruments): Jacinto TDA4VH/TDA4VM processors

NXP: S32K3 Series automotive-grade MCUs (Arm Cortex-M7)

III. Why Choose Mingjiada Electronics?

As a globally renowned authorised independent distributor with nearly thirty years’ experience in the electronic components sector, Mingjiada Electronics is ISO 9001 and ISO 14001 certified, with over 2 million stock items readily available in its Hong Kong and Shenzhen warehouses. The company offers the following core advantages:

Accurate valuation and high-value buyback: We provide highly competitive quotes for AI and robotics-specific chips based on real-time global market conditions

Comprehensive coverage: We purchase all types of stock, including brand-new, factory-sealed items (Reel/Tray/Tube), customs-seized goods, factory surplus and personal stock

24-hour rapid response: Simply submit your stock list (Excel/PDF) and our team will provide a preliminary quotation within 24 hours

Secure, compliant and swift payment: We sign formal recycling contracts, support third-party testing and make full payment within 24 hours of transaction completion

Specialising in high-end sectors: We focus particularly on chips for specialised applications requiring high reliability and high computing power, addressing the challenges faced by ordinary recyclers who ‘dare not or do not know how to’ purchase such items

IV. Contact Us

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

Telephone: 86-13410018555

Email: sales@hkmjd.com

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

We welcome robotics manufacturers, solution providers, distributors and research institutions to contact us by telephone or submit their inventory lists!