Firmenblog über Recycle Microchip AI Accelerators Products:Hailo-8/Hailo-8L/Hailo-10H AI Accelerator

Recycle Microchip AI Accelerators Products:Hailo-8/Hailo-8L/Hailo-10H AI Accelerator

The Hailo series of edge AI accelerators, developed by Hailo and incorporated into Microchip’s product portfolio, are based on a proprietary neural network core architecture. They are designed to deliver edge deep learning inference capabilities without the need for external DRAM, whilst offering low power consumption and low latency. Covering three key application tiers—entry-level visual recognition, high-performance multi-stream analysis and edge generative AI—they are widely suited to smart vision devices, industrial automation, in-vehicle edge units, security cameras and humanoid robots, making them the mainstream chip choice for lightweight edge AI solutions.

1. Hailo-8 Artificial Intelligence Accelerator
The Hailo-8 is the flagship high-performance edge AI processor in this series, delivering up to 26 TOPS of INT8 computing power. The chip features an integrated memory architecture, eliminating the need for external DRAM, which significantly simplifies the hardware BOM, reduces PCB space requirements and lowers power consumption. The chip offers excellent energy efficiency and supports simultaneous real-time inference across multiple video streams. It can execute complex computer vision (CV) algorithms such as object detection, segmentation, pose recognition and OCR, and is accompanied by a comprehensive model compilation toolchain that supports model conversion for mainstream frameworks. It is suitable for high-end smart cameras, industrial quality inspection equipment, smart turnstiles, autonomous driving domain perception assistance, and humanoid robot vision perception units—all of which demand high computational power and real-time performance. It comes with standardised modules such as M.2 and PCIe, facilitating rapid integration into embedded motherboards; the industrial version supports a wide operating temperature range, meeting the demands of harsh outdoor and industrial environments.

2. Hailo-8L AI Accelerator
The Hailo-8L is an entry-level, cost-effective edge AI accelerator delivering 13 TOPS of INT8 computing power. Continuing the series’ design without external DRAM, it offers greater cost-effectiveness and excellent power consumption control, making it ideal for lightweight AI applications. It also features low-latency inference, making it suitable for single-channel or small-scale video stream recognition tasks, and supports basic AI algorithms such as face capture, object counting and simple anomaly detection. Suitable for smart home devices, small IPC cameras, lightweight industrial sensors, low-power IoT gateways and small-scale automated inspection terminals, it is ideally suited to cost-sensitive projects with moderate computing power requirements. The M.2 standard form factor module enables rapid integration with various embedded platforms, shortening product development cycles.

3. Hailo-10H Artificial Intelligence Accelerator
The Hailo-10H is a next-generation accelerator designed for edge-based generative AI. Equipped with a second-generation neural network core, it delivers 40 TOPS of INT4 computing power and 20 TOPS of INT8 computing power, with a typical power consumption of just 2.5W. It serves as the core component for edge-based local large language models and vision-language models (VLMs), enabling local devices to run lightweight LLMs, text-image understanding and multimodal inference tasks, thereby eliminating reliance on cloud-based networks. Featuring industrial-grade specifications with an operating temperature range of –40°C to 85°C, it represents a significant leap forward in computing power, energy efficiency and scalability compared to the previous generation. It is suitable for cutting-edge edge computing scenarios such as smart interactive terminals, in-vehicle multimodal AI, on-site analysis of large models in industrial settings, multimodal perception in high-end robots, and offline smart gateways. The accompanying toolchain supports the quantisation, adaptation and deployment of large models, facilitating the implementation of offline generative AI capabilities at the edge.

[Electronic Component Recycling Services]
Shenzhen Mingjiada Electronics has long specialised in the recycling of genuine electronic components and the disposal of idle stock. Recyclable items include 5G chips, new energy ICs, IoT ICs, Bluetooth ICs, V2X ICs, automotive-grade ICs, communications ICs, artificial intelligence ICs, amongst others. Furthermore, the company supplies a full range of electronic components, including memory ICs, sensor ICs, microcontroller ICs, transceiver ICs, Ethernet ICs, Wi-Fi chips, wireless communication modules and connectors. Catering to semiconductor distributors, solution providers, end-user manufacturers and traders, it offers a one-stop service for handling project offcuts, discontinued stock, surplus stock and clearance stock, helping enterprises to realise the value of stagnant assets whilst reducing the risks associated with warehousing and inventory impairment.

Our recycling service only accepts materials from legitimate sources that are genuine and in their original packaging. Priority is given to components with intact original packaging, which have not been installed in equipment and are in good condition. We support both bulk warehouse collection and the sorting and purchase of individual part numbers. A confidentiality agreement may be signed throughout the transaction to protect clients’ project material information from disclosure. Settlement is guaranteed in cash using our own funds, and we support corporate transactions with no hidden fees.

[Complete Process for Component Recycling]
1. Submit an inventory list: Clients organise the materials to be recycled, detailing the model, brand, quantity, packaging condition and batch date, and attach photographs of the items. This information is then sent via email or online messaging to the Mingjiada valuation team.
2. Professional Assessment and Quotation: Assessment engineers verify information based on real-time market conditions, component scarcity, packaging, year of manufacture and condition, and generally issue a preliminary quotation within 24 hours; scarce components such as AI accelerators and high-end computing modules undergo specialised re-evaluation.
3. Inspection and Verification: Once both parties have reached an agreement on the preliminary quotation, samples of small batches may be sent for testing. For large-volume stock, on-site inventory checks will be arranged in the Pearl River Delta region to verify the physical model numbers, original manufacturer’s markings, packaging, oxidation and refurbishment status, and to confirm the quality of the materials.
4. Signing of Agreement and Settlement: Upon successful inspection, a recycling purchase and sale agreement will be signed to confirm the terms of the transaction; Once the inventory count and handover are complete, payment will be arranged, with support for corporate bank transfers and cash-on-delivery; relevant transaction receipts will be provided upon completion of the transaction.
5. Stock Receipt and Sorting: Qualified, original-packaged materials received for recycling undergo retesting, tape-and-reel packaging and categorised storage before entering the spot supply chain. They are then supplied to R&D and manufacturing clients with demand, thereby forming a closed-loop component circulation system.