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Meta accelerates AI infrastructure, targeting a 1GW 'Prometheus' supercomputer with 1.3M NVIDIA H100 GPUs (2 exaflops) by 2026, plus 5GW 'Hyperion' cluster. Plans $60-65B investment by 2025 for AI/data centers, competing with OpenAI/xAI. Commits to open-source and privacy despite environmental concerns.....

Liquid AI opensources the next-generation edge AI model LFM2, available in three versions with 350M to 1.2B parameters. The model features an innovative architecture, achieving twice the inference speed and three times the training efficiency on edge devices, supporting 32K long context processing. LFM2 performs exceptionally well in tasks such as instruction following, outperforming models of similar scale, making it particularly suitable for privacy-sensitive scenarios. Fully open-sourced through Hugging Face, this marks the first time a U.S. company has surpassed Chinese open-source models in the field of efficient small models. Liquid AI

Recently, NVIDIA and CoreWeave announced that NVIDIA's latest artificial intelligence graphics processor, Blackwell Ultra, has been commercially deployed on CoreWeave. This news undoubtedly injects new vitality into AI cloud computing services. Dell also stated that CoreWeave has received customized devices based on the NVIDIA GB300NVL72AI system, marking CoreWeave as the first to install a Blackwe

Honor's official Weibo account @MagicOS announced that Honor has successfully deployed the world's first edge-side voice large model. This technological advancement is not only a breakthrough for Honor, but also hailed as a 'renewal of AI voice technology'. This significant achievement will make its debut on the overseas version of the upcoming Honor Magic V5. Honor's technological innovation is the result of its in-depth efforts in the field of artificial intelligence. It is reported that Honor has published two academic papers at the prestigious international conference InterSpeech, which have attracted widespread attention from the academic community.

On June 30, Baidu officially open-sourced its latest ERNIE Bot Large Model 4.5 series, which includes a total of 10 models, including a mixture-of-experts (MoE) model with 47B and 3B activation parameters, as well as a dense model with 0.3B parameters. This open-source release allows developers to use these powerful models for free and provides pre-trained weights and inference code, making it easy for developers to apply them in various scenarios. During this release, Intel also demonstrated its strong technical support. By leveraging the OpenVINO toolkit, Intel provided efficient optimization for the ERNIE Bot Large Model.

At the recent VivaTech科技Summit held in Paris, NVIDIA CEO Jensen Huang stated that European artificial intelligence (AI) computing power is expected to increase tenfold within the next two years. This prediction has drawn significant attention from the industry, especially given the increasing worldwide focus on AI technology. Huang pointed out that Europe is actively building more than 20 "AI superfactories", which will provide strong infrastructure support for AI development. He emphasized that countries in Europe have already realized

Gongbu Group recently announced a comprehensive and in-depth full-stack AI cooperation with Alibaba Cloud. The two parties will jointly create products based on Qwen large model and AI computing power and other advanced technologies to explore innovative end-side intelligent solutions. This move not only marks another significant breakthrough for Gongbu in the smart home field, but also indicates that its future will accelerate its overseas strategy by relying on Alibaba Cloud's global infrastructure. Gongbu and Alibaba Cloud have a long history of deep cooperation, establishing a close partnership since 2017. Currently, Gongbu's IoT system has been fully running on the Alibaba Cloud platform.

Recently, the Shanghai University of Finance and Economics held the 'Kuangshi Financial and Economic Education Large Model' Release Conference and Digital Intelligence New Financial Forum in Shanghai. This innovative intelligent education platform was officially launched. The large model aims to accurately meet the diverse needs of financial education, marking an important step for the school in deeply integrating financial education with artificial intelligence (AI). Professor Zhang Liwen from the College of Statistics and Data Science at the Shanghai University of Finance and Economics introduced that this large model fully relies on the school's rich financial discipline background and advanced technological exploration, aiming to build a service platform for various types of financial education.

On June 6, MemSET Intelligence officially launched its latest masterpiece - the MiniCPM4.0 series model. This series is hailed as "the most imaginative pocket-sized powerhouse" in history. Not only does it achieve a leap in edge-side performance but also sets a new benchmark in technological innovation. The MiniCPM4.0 series includes two heavyweight products: one is an 8B Lightning Sparse Edition, which has sparked an efficient storm with its innovative sparse architecture; another is a nimble and lightweight 0.5B version, known as the "strongest pocket-sized powerhouse". These two models excel in speed, efficiency, performance, and application.

Google has quietly launched an experimental app called the Google AI Edge Gallery, marking a significant step forward in edge computing and privacy-focused AI deployment. This application enables users to run open-source AI models from the Hugging Face platform directly on their smartphones, allowing functions like image generation, text processing, and code editing without an internet connection. A landmark in local AI, the Google AI Edge Gallery achieves this through Google's LiteRT (

Microsoft has announced an investment of $400 million to enhance its cloud computing and artificial intelligence (AI) infrastructure in Switzerland. This investment was disclosed during a meeting between Swiss Economics Minister Guy Parmelin and Microsoft Vice Chairman Brad Smith, marking Microsoft's ongoing expansion in the fields of AI and cloud services. Microsoft currently has a business team of around 1,000 employees in Switzerland, and the new funds will mainly be used for expanding and upgrading data centers near Geneva and Zurich. This initiative aims to meet the growing demand for cloud computing and AI services in the Swiss market.

Historic breakthroughs are happening in the construction of AI infrastructure! The Star Gate Project (Project Stargate), as part of a $500 billion AI data center project jointly promoted by OpenAI, Oracle, SoftBank, and Abu Dhabi's MGX Fund, is rapidly expanding its territory. From the 1.2-gigawatt AI park in Abilene, Texas, USA to the 5-gigawatt super data center in Abu Dhabi, UAE, the Star Gate Project is reshaping the global AI computing landscape at an astonishing speed. AIbase integrates the latest information.