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The startup has raised more than $450m in total to date.
Axelera AI makes chips and software for inference, the computing process of running an AI model, as opposed to training an AI model, which has become increasingly important as more enterprises embrace AI.
The startup's chips are designed for use locally on edge devices, such as mobile phones, as it looks to make AI more energy efficient by processing data directly on devices rather than in the cloud.
The startup said the funding represented the largest ever by an EU AI semiconductor firm. It said it had 500 customers across industries such as defence, agritech and robotics.
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FoundryBase
updated about 3 hours ago
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Summary: Dutch startup Axelera AI has successfully raised $250 million, bringing its total funding to over $450 million. The company specializes in developing chips and software for AI inference, a crucial process that enables the execution of AI models. By focusing on local processing on edge devices, including mobile phones, Axelera AI aims to enhance energy efficiency and reduce reliance on cloud computing. The recent funding marks a significant milestone as it is the largest amount ever raised by an EU AI semiconductor firm, with the company serving approximately 500 customers across various sectors such as defense, agritech, and robotics.
AI inference is increasingly critical as organizations seek to implement artificial intelligence solutions more efficiently. Inference refers to the phase where a trained AI model is applied to make predictions or decisions based on new data. Axelera AI's approach aligns with the growing trend towards edge computing, which processes data closer to its source, thereby minimizing latency and energy consumption. The demand for efficient AI solutions is rising across multiple industries, highlighting the relevance of Axelera's technology in contemporary applications.
Keywords: AI inference, edge computing, semiconductor industry, energy efficiency, funding round
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