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Untether has introduced a new AI chip designed to enhance applications in vehicles and agricultural devices. Unlike traditional chips that require extensive data center setups, Untether's 240 Slim chip operates efficiently in edge-case scenarios. This innovation is expected to significantly impact the growing inference market, projected to reach $102 billion by 2027.
The 240 Slim chip is optimized for performance with reduced energy consumption, making it ideal for autonomous technologies. Collaboration with Mercedes-Benz highlights the chip's potential in next-generation vehicles. The use of open-source RISC-V technology positions Untether competitively against established players like Arm Holdings.
• Untether's AI chip targets efficiency in edge-case applications.
• The inference market for AI chips is set to grow significantly by 2027.
Inference refers to the process of using a trained AI model to make predictions or decisions based on new data.
RISC-V is an open-source instruction set architecture that allows for customizable chip designs, enhancing flexibility in AI applications.
Untether specializes in developing AI chips aimed at powering applications in various industries, including automotive and agriculture.
Nvidia is a leading company in AI chip manufacturing, known for its powerful GPUs used in data centers and AI applications.
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