Firmenblog über Mingjiada Electronics Recycle All Types Of AI Chips, AI SoC Chips And AI Processor Chips

Mingjiada Electronics Recycle All Types Of AI Chips, AI SoC Chips And AI Processor Chips

Shenzhen Mingjiada Electronics Co., Ltd. – With over twenty years’ experience in the electronic component recycling sector, we specialise in the long-term recycling of various AI chips, AI SoCs (System-on-Chip) and AI processors. Mingjiada Electronics only accepts stock sourced through official channels, such as distributors, traders and end-user factories; we do not accept stock from unofficial sources.

Mingjiada Electronics focuses on recycling AI chip products from the following brands, covering full-scenario computing chips ranging from cloud accelerators to edge-side SoCs:
1. AMD Series — Adaptive Computing and Edge AI Platforms
Second-generation AMD Versal™ AI Edge Series: This is an adaptive computing platform designed specifically for edge AI inference, integrating an AI engine, programmable logic and a high-performance CPU. It is suitable for real-time decision-making scenarios such as autonomous driving, industrial robotics and intelligent sensing. Key models for recycling include various high-end models from the XCVM, XCVP and XCVR series.
AMD Zynq Series: The industry’s most widely used SoC FPGA product, seamlessly integrating ARM processors with FPGA architecture, and widely applied in industrial control, communications and edge computing.
Recyclable models include the XC7Z010, XC7Z020, XCZU2CG, XCZU3EG, XCZU9EG, XCZU15EG, XCZU19EG and others.
AMD Kintex / Virtex Series: High-end FPGAs designed for high-performance computing and signal processing scenarios, including the UltraScale+ series with integrated processing subsystems, which also offer powerful AI acceleration capabilities.

2. Ambarella – A specialist brand in visual AI SoCs
Ambarella is a world-leading designer of visual AI SoCs. Its chips are renowned for their exceptional image processing capabilities and low-power AI computing performance, and are widely used in smart security, robotics, drones and action cameras.
Mingjiada’s Key Recycling Focus:
(1) Flagship High-Performance Series:
CV7: The latest 4nm edge AI vision perception SoC released in 2026, supporting multiple 8Kp60 video streams and equipped with the third-generation CVflow® AI accelerator, delivering over 2.5 times the AI performance of its predecessor.
N1: Built on an advanced 5nm process, it features a built-in Neural Vector Processor (NVP) and integrates a 16-core Arm Cortex-A78AE CPU, designed specifically for multimodal large language models and edge AI servers.
(2) High-end AI Vision Processing Series:
CV5S: Manufactured using a 5nm process, it supports 8Kp30 video encoding with power consumption below 4W, making it suitable for high-end IP cameras and machine vision applications.
CV2S: Supports 4Kp60 video encoding and stereo vision processing, specifically designed for high-performance surveillance cameras.
(3) Mainstream AI Vision SoC Series:
CV72S, CV52S, CV22S, CV22: Cover a wide range of scenarios from consumer-grade robots to intelligent transport systems, integrating the CVflow® computer vision architecture.
CV25S: Aimed at next-generation smart home monitoring and professional security solutions.

3. Infineon — Edge AI Microcontrollers
The Infineon PSoC™ Edge series comprises high-performance microcontrollers designed specifically for edge intelligence applications. Featuring a multi-core heterogeneous architecture, they integrate an Arm Cortex-M55 CPU and Ethos-U55 NPU to provide machine learning hardware acceleration for industrial automation, smart homes and automotive electronics. Mingjiada specialises in the long-term recycling of the full range of PSoC™ Edge chips.

4. NVIDIA — GPUs and Edge AI Modules
As a leader in AI-accelerated computing, there is strong demand for NVIDIA’s GPUs and Jetson series edge AI modules.
Mingjiada focuses on recycling:
Jetson series: Orin NX, AGX Orin, Xavier and other modules.
Data centre-class GPU accelerators such as Tesla and A100.

5. AI chips from other brands
Intel (Altera): Stratix 10 and Agilex series FPGAs, Movidius vision processors.
Qualcomm: Snapdragon automotive digital cockpit platforms, 5G baseband chips.
NXP: i.MX series application processors, S32 series automotive-grade MCUs.
Rockchip: AIoT SoCs such as RK3588 and RK3568.
Memory chips: High-bandwidth memory (HBM), DDR4/DDR5, LPDDR5, etc., from brands such as Samsung and Micron.

Recycling Process
1. Enquiry and Quotation: Provide details such as chip model, quantity, condition and packaging to receive an initial quotation.
2. On-site/Postal Inspection: Arrange for on-site inspection or send samples by post; our specialist team will verify the quality of the chips.
3. Pricing and Contract: Both parties confirm the final recycling price and sign the recycling agreement.
4. Settlement and Handover: Payment is settled on the spot, and the handover of chips is completed efficiently.

If you have idle stock of brand-new, factory-sealed AI chips, AI SoCs or AI processors, please visit the Mingjiada Electronics website (https://www.integrated-ic.com/) to obtain a bespoke recycling assessment.