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South Korea unveils edge AI semiconductor roadmap, aiming to complete development and validation of 10 chips by 2030

Source: IT之家 Published: AI 中文 AI
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South Korea's Ministry of Trade, Industry and Energy announced a roadmap for its edge AI semiconductor technology development project, which aims to complete the development and validation of 10 AI chips by 2030 through the KRW 800.2 billion program. Three of the chips target smart home appliances, with one each for autonomous driving, collaborative robots, humanoid robots, agricultural robots, and drones, plus advanced-process and extreme-scenario projects. Under the roadmap, foundries such as Samsung Electronics will prioritize allocating test tape-out resources including MPW to domestic projects, IP companies will reduce IP costs for Korean chip designers through flexible approaches, and chip customers will actively participate in the R&D process.

Translation(model translation, not the source's own text)

South Korea Unveils On-Device AI Semiconductor Roadmap, Aiming to Complete Development and Verification of 10 Chips by 2030

IT之家, November 12 — South Korea's Ministry of Trade, Industry and Energy today unveiled the roadmap for the country's on-device AI semiconductor technology development project, with the goal of completing the development and verification of 10 AI chips by 2030 through this project, which has a total budget of 800.2 billion won (IT之家 note: roughly 3.993 billion yuan at current exchange rates).

Of these ten chips, three are aimed at smart home appliances, with one each for autonomous driving, collaborative robots, humanoid robots, agricultural robots, and drones, plus projects for advanced processes and extreme scenarios.

According to the roadmap, foundries such as Samsung Electronics will give priority to allocating test tape-out resources such as MPW (multi-project wafer) opportunities to domestic projects, while IP companies will lower IP usage costs for South Korean chip designers through flexible approaches. In addition, chip customers will actively participate in the R&D process.

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The translation is machine-generated and individual terms may be off. Nothing is rewritten or cut; the original is authoritative.

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