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| 제목 | SoftBank Acquires Ampere Computing |
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SoftBank Acquires Ampere Computing for $6.5 Billion, Accelerating AI Infrastructure Investments (Date: March 19, 2025) – SoftBank Group Corp. (TSE: 9984, "SoftBank") announced today that it will acquire Ampere® Computing, an independent silicon design company, for $6.5 billion (approximately 8.7 trillion KRW). The acquisition will be an all-cash transaction, and Ampere will become a wholly-owned subsidiary of SoftBank, retaining its company name. Major investors in Ampere, Carlyle (NASDAQ: CG) and Oracle Corp. (NYSE: ORCL), will sell their respective stakes through this transaction. SoftBank has recently been expanding its investments in AI infrastructure startups, such as Cristal Intelligence and Stargate, and expects to strengthen its core capabilities and accelerate its growth momentum through this acquisition of Ampere. In particular, Ampere's high-performance, low-power processor technology is expected to play a key role in SoftBank's AI strategy. Masayoshi Son, Chairman and CEO of SoftBank Group, stated, "The era of Artificial Super Intelligence requires breakthrough computing power." He added, "Ampere's expertise in semiconductors and high-performance computing will help accelerate this vision and further solidify our commitment to AI innovation in the United States." This indicates that SoftBank is actively investing to lead the AI era. Renée J. James, Founder and CEO of Ampere, said, "We are excited to join SoftBank Group, sharing a vision for advancing AI." She added, "This is a fantastic outcome for our team, and we are excited to drive forward our AmpereOne® roadmap for high-performance Arm processors and AI." Ampere is expected to further accelerate its technology development and market expansion by leveraging SoftBank's extensive network and resources. Founded in Silicon Valley in 2018, Ampere initially focused on cloud-native computing and has since expanded its business into sustainable AI computing. The company has multiple products for a spectrum of cloud workloads from the edge to the cloud data center, and is particularly noted for its processor design that emphasizes energy efficiency. This can serve as an important competitive advantage in a situation where power consumption and environmental issues in data centers are emerging. |
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