Core Insights - Fujitsu and NVIDIA are collaborating to develop a semiconductor aimed at artificial intelligence (AI) applications, with a goal to connect their chips on the same substrate by 2030, enhancing computational efficiency and energy savings [1][2] - The partnership aims to tap into new markets such as data centers and robotics, leveraging NVIDIA's expertise in GPU technology and Fujitsu's CPU development [1][2] Group 1: Collaboration Details - The joint semiconductor development will utilize NVIDIA's technology to achieve ultra-fast interconnectivity between multiple chips, allowing them to function as a single chip [1] - Fujitsu's new CPU, named "MONAKA," is being developed based on Arm architecture, with a target of achieving double the power efficiency compared to competitors, and is expected to be operational by 2027 [2] - The collaboration is expected to enhance energy efficiency significantly, with Fujitsu's president stating it marks an important step towards an AI-driven society [2] Group 2: Market Expansion and Strategic Goals - NVIDIA is looking to expand its market presence in Japan by leveraging Fujitsu's extensive experience in system construction and its established customer base across various sectors, including government and finance [5] - The partnership also includes plans for future collaboration on the successor to the "Fugaku" supercomputer, aiming for higher computational capabilities by integrating CPU and GPU technologies [5] - Other Japanese companies, such as Hitachi and NTT, are also engaging in partnerships with international firms to enhance energy efficiency in AI data centers, indicating a broader trend of collaboration in the tech industry [4]

Core Viewpoint - Fujitsu's commitment to domestic production of advanced semiconductors through its investment in Rapidus is aimed at ensuring supply chain stability, particularly for AI-related technologies [1][2]. Group 1: Fujitsu's Involvement and Plans - Fujitsu plans to invest in Rapidus and is focused on procuring advanced semiconductors for AI technologies [1]. - The company is developing a CPU named "MONAKA" with a 2nm process, expected to be operational by 2027, targeting applications in AI and data centers [1]. - Fujitsu intends to outsource the manufacturing of these CPUs to TSMC, the largest semiconductor foundry [2]. Group 2: Rapidus' Technological Developments - Rapidus has entered the trial production phase for its 2nm logic chips, utilizing a novel GAA (Gate All Around) structure to achieve the required precision [3]. - The company has dispatched around 150 engineers to IBM's R&D base in New York to develop practical technologies for 2nm semiconductors [3][4]. - Rapidus is facing various technical challenges, including the development of complex 3D transistor structures and the integration of different materials [4]. Group 3: Production and Workforce - Rapidus has equipped its trial production line with over 200 advanced machines, including an EUV lithography system, which has not been mass-produced in Japan before [3][4]. - The company aims to create a new business model by integrating the development, pre-processing, and post-processing phases of chip production, which is expected to significantly shorten development cycles by two to three times [5][6]. - Rapidus employs a workforce of 700, including many experienced professionals from Japan's semiconductor industry, which is seen as a strength in overcoming current challenges [6]. Group 4: Future Aspirations - Rapidus believes that successful operations will revitalize Japan's semiconductor industry and have a global impact, as semiconductors are essential across various sectors [6]. - The company emphasizes teamwork and a shared mission to achieve meaningful and beneficial goals in semiconductor technology [7].