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IBM recently unveiled its latest mainframe, the IBM z17. Featuring the new IBM Telum II processor, and five years in development, the z17 boasts significant AI capabilities across hardware, software, and system operations. IBM states that the z17 is designed to "redefine large-scale AI computing." While many view mainframes as relics of a bygone computing era, they remain critical for large enterprises handling massive datasets globally.

According to AIbase, Google's parent company Alphabet has reaffirmed its $75 billion capital expenditure plan for 2025 in recent earnings calls and public statements. This underscores Google's continued commitment to infrastructure development, particularly in maintaining its leadership position in Artificial Intelligence (AI). The massive investment focuses on AI computing power. As a global tech giant, Google's capital expenditure plans are closely watched by the industry. AIbase analysis indicates that the reiterated $75 billion...

According to Bloomberg, OpenAI is making a massive investment in its first infrastructure project, dubbed "Stargate," with an estimated cost of $100 billion. The project's first data center complex, located in the small Texas town of Abilene, is planned to house up to 400,000 powerful Nvidia AI chips. Once fully operational, it will be one of the world's largest AI computing centers. Image Note: Image generated by AI, image licensing service Midjourney.

Oracle CEO Safra Catz said Monday that the company expects strong revenue growth in fiscal years 2026 and 2027, reflecting a surge in demand for advanced AI computing that shows no signs of slowing. Oracle projects a 15% revenue increase in fiscal 2026 and a 20% jump in fiscal 2027, according to LSEG data, exceeding analyst expectations. Image note: Image generated by AI.

JD Cloud Shenzhen unveils eight flagship products and five deployment modes, making AI implementation more accessible and cost-effective. This comprehensive solution addresses the final mile of AI deployment, providing a seamless experience for businesses.

The UK government has recently announced a large-scale investment in the field of artificial intelligence (AI), with plans to increase publicly controlled AI computing power by 20 times by 2030. Prime Minister Keir Starmer stated that this plan to ‘unleash’ AI aims to make the UK a leader in the global AI industry. Despite public concerns about the potential impact of AI, the government believes that this technology could bring up to £470 billion in economic growth. Image source credit: Image generated by AI, image licensed by Midjourney.

In the field of artificial intelligence, ByteDance is ramping up investments at an astonishing pace. According to the latest report from Zheshang Securities, ByteDance's capital expenditure on AI will reach 80 billion yuan in 2024, nearly equaling the total of the three giants Baidu, Alibaba, and Tencent. It is expected that by 2025, this figure will double to 160 billion yuan, with 90 billion yuan allocated for AI computing power and 70 billion yuan for data center infrastructure and networking equipment. This investment scale not only demonstrates ByteDance's ambition in the AI sector but also foretells a new development phase for China's AI industry.

Wenyuan Zhixing officially launched its new generation mass-produced Robotaxi — GXR on October 15. GXR draws on more than 1,800 days of public operation experience in the Robotaxi field, featuring L4 level public road driving capability, and can handle complex scenarios such as morning and evening rush hours, mixed traffic, and high-speed driving at night. The Wenyuan Zhixing GXR is equipped with comprehensive redundancy systems for architecture, F-O line control chassis, computing units, and braking, effectively avoiding single point failures. It also features the new HPC 2.0 high-performance computing platform.

Intel has unveiled its first Lunar Lake mobile processor at the IFA conference, achieving Microsoft's Copilot+ performance targets. This chip offers up to 120 TOPS of AI computing power, significantly improving performance by 14% for core clock instructions and 68% for efficiency core performance, with graphics processing performance up about 50% compared to the previous generation. Compared to AMD, Lunar Lake performs similarly in graphics-intensive tasks like gaming but with approximately 30% lower power consumption. In terms of performance, it outperforms Qualcomm.

Intel's Gaudi3 AI accelerator chip has found its first cloud computing customer in IBM Cloud, which plans to offer services to customers early next year to support artificial intelligence computing in hybrid and on-premises environments. IBM Cloud will integrate the Gaudi3 chip into its Watsonx AI and data platform to drive the development of new artificial intelligence capabilities. The integration of Gaudi3 with Xeon CPUs will provide cost-effective, secure, and innovative AI computing solutions. Despite facing competition from Nvidia, Intel...

The upcoming iPhone 17 series from Apple is expected to feature 12GB RAM to meet the memory demands of future AI large models. The current iPhone 15 Pro and iPhone 16 series with 8GB RAM are insufficient for supporting large models with around 7 billion parameters. A model with 13 billion parameters requires at least 5GB of memory, and after the operating system and applications take up space, 8GB RAM fails to provide enough room. The 12GB RAM configuration could offer ample space for larger AI models.

Domestic AI chip design company Suiyuan Technology has initiated the counseling process for its A-share listing, officially starting its IPO. Established in 2018, Suiyuan Technology focuses on the development of cloud computing products in the AI field, including AI acceleration cards, intelligent computing clusters, and related software and platforms. The company's founders, Zhao Lidong and Zhang Yalin, both possess strong technical backgrounds. One year after its establishment, Suiyuan Technology launched its first-generation AI training chip, SuiSi 1.0, and has now developed to the second generation, SuiSi 2.0, while also developing multiple AI inference chips. In just six years, the company has completed ten rounds of financing, totaling nearly 7 billion RMB.