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Mingjiada Electronics Recycle AI Chips, Recycle System-On-Module, AI Processors Chips, CPU And AI Accelerators

Shenzhen Mingjiada Electronics Co., Ltd. — Specialises in the long-term, high-value recycling of various AI chips, artificial intelligence processors, and high-performance computing accelerators. Our recycling scope encompasses the full range of AI processors from international giants to specialised chip design companies, dedicated to helping clients capitalise on idle assets and promote the circular reuse of electronic resources.

1. NVIDIA — Jetson Series System-on-Module (SOM)
NVIDIA Jetson is an embedded artificial intelligence computing platform developed by NVIDIA, primarily targeting high-performance AI applications such as edge computing and robotics. It is not a standalone operating system but rather a combination of hardware modules and a software development kit (JetPack SDK). Pre-installed with a Linux system based on Ubuntu LTS, it integrates GPU-accelerated libraries including CUDA, cuDNN, and TensorRT.
Core Features:
Hardware Architecture: Incorporates NVIDIA GPUs (e.g., Maxwell, Volta, Ampere, Blackwell architectures) paired with ARM multi-core CPUs, delivering AI computing power ranging from 0.5 TFLOPS to 2000+ TOPS.
System Environment: Runs Ubuntu 18.04/20.04 LTS aarch64 by default, with JetPack providing development environments for deep learning, computer vision, and multimedia processing.
AI Framework Support: Native support for mainstream frameworks including TensorFlow, PyTorch, Caffe, MXNet, and Keras, facilitating inference model deployment.
Application Scenarios: Robotics, drones, industrial vision, smart cities, medical imaging, autonomous driving, and more.
Mingjiada Electronics consistently procures NVIDIA's full range of AI acceleration products, including but not limited to:
Jetson Nano: Entry-level, 0.5 TFLOPS, 5–10W power consumption, suitable for education and lightweight AI applications.
Jetson Orin Series: High-performance (40–275 TOPS), supporting multi-sensor parallel inference.
Jetson Thor: Latest generation, 2070 TOPS, targeting generative AI and high-end robotics.

2. AMD — AI Processor Chips
AMD has made significant strides in the AI chip market in recent years, with its Instinct series accelerator cards becoming a preferred alternative to NVIDIA solutions for numerous data centres. Mingjiada Electronics focuses on acquiring the following AMD product lines:
AI PC processors: The newly released Ryzen AI series (e.g., Ryzen AI Max series, Ryzen AI 300 series), featuring integrated NPUs with XDNA2 architecture delivering up to 50 TOPS AI performance, specifically designed for AI laptops.
Data Centre and AI Acceleration: Instinct MI300 series and subsequent MI350 series accelerators for AI training and inference; EPYC server CPUs widely deployed in cloud computing and high-performance computing scenarios.

3. Intel — CPUs and AI Accelerators
As the world's largest CPU manufacturer, Intel is enhancing general-purpose computing intelligence through integrated AI accelerators. Mingjiada Electronics monitors Intel's AI-related products:
Xeon Scalable Processors: Fourth and fifth generation Xeon processors with integrated AI accelerators, suitable for AI inference scenarios in data centres and cloud computing.
AI Accelerators: Gaudi series AI accelerator chips (e.g., Gaudi 3) provide high-performance options for large-scale AI training.

Recycling Process:
Should you require disposal of surplus electronic components, please email details of IC/module inventory for sale to chen13410018555@163.com. Our specialists will conduct on-site preliminary testing and classification of your stock, offering a recycling price based on component type, quantity, and condition. Upon mutual agreement, specific delivery arrangements may be negotiated.

For any surplus AI chip inventory requiring disposal, please visit Mingjiada Electronics' official website (https://www.integrated-ic.com/) for further supply details.