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- APLUX is an artificial intelligence company focused on the AIoT field.
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- 🧰**Software Stack**
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- APLUX build a creative Fusion OS (Android + Linux) named [AidLux](https://aidlux.com/en) for ARM SoC, and AI toolkit simplify the building AI at edge.
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- - [AidLux](https://aidlux.com/en) is a cross-system featured all-in-one platform for AIoT application development and deployment based on ARM.
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- - [AIMO](https://aidlux.com/en/product/aimo) is a zero code tool enpowers developers to optimize models for accelerating the inference on edge devices with higher throughput and lower latency.
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- - AI toolkit covers model inference SDK [AidLite](https://huggingface.co/datasets/aidlux/AIToolKit/blob/main/AidLite%20SDK%20Development%20Documents.md), video codec tool [AidStream](https://huggingface.co/datasets/aidlux/AIToolKit/blob/main/AidStream%20Development%20Documents.md) and CV tool [AidCV](https://v2.docs.aidlux.com/en/sdk-api/aidcv/).
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- 📦**AI Box**
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- APLUX support edge AI Box equipped with Qualcomm SoC.
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- - [AidBox QC6490](https://huggingface.co/datasets/aidlux/AIBox/blob/main/AidBox%20QC6490.pdf) Development Board equipped with Qualcomm QCS6490
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- - [AidBox GS865](https://huggingface.co/datasets/aidlux/AIBox/blob/main/AidBox%20GS865.pdf) equipped with Qualcomm QCS8250
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- - [APLUX QCS8550](https://huggingface.co/datasets/aidlux/AIBox/blob/main/APLUX-QCS8550.pdf) AI high-computing-power module equipped with Qualcomm QCS8550
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- 🤖**Robot**
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- APLUX support [AidBot](https://huggingface.co/datasets/aidlux/AidBot/blob/main/AidBot.pdf) a single-soc multi-purpose differentiated solutions for robot customers.
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- 📷**Industrial AI Camera**
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- APLUX build first [industrial AI camera](https://huggingface.co/datasets/aidlux/AICamera/blob/main/APLUX%20Industrial%20AI%20Camera.pdf) powered by Qualcomm SoC
 
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+ **Welcome to Aplux Model Farm** 👋
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+ To accelerate evaluation AI model performance on target edge devices, APLUX builds the Model Farm. Model Farm contains hundreds of mainstream open-source models with different functions, optimized for different hardware platforms, and provides benchmark performance reference based on real testing. Developers can quickly finish evaluations according to their actual requirements without investing substantial costs and time costs.
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+ At the same time, Model Farm also provides ready-to-run model inference example code, greatly reducing the difficulty and workload for developers to test model performance and develop AI application on edge devices, shortening the entire process time and accelerating solution deployment.
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+ For first-time users, please visit [Model Farm Developer Guide](https://docs.aidlux.com/en/guide/software/ai-platform-portal-modelFarm)