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A significant breakthrough in the field of artificial intelligence. AIbase learned from social media that ByteDance recently announced the open-sourcing of its new multimodal generation model, Liquid. This model, utilizing an innovative unified encoding method and a single large language model (LLM) architecture, seamlessly integrates visual understanding and generation tasks. This release not only showcases ByteDance's technological ambition in multimodal AI but also provides a powerful open-source tool for global developers. Below is AIbase's in-depth analysis of the Liquid model, exploring its technological innovations and core features.

Tianyancha App shows that Beijing Silicon-based Liquid Technology Co., Ltd. recently underwent a major business change. In this change, Beijing Zhipu AI Technology Co., Ltd. withdrew from the shareholder ranks, while four new investors were added: Meituan's Tianjin SanKuai Technology Co., Ltd., Beijing Xinglian Dingsen Equity Investment Fund Partnership (Limited Partnership), Nanjing LvYong Jinhao Equity Investment Management Partnership (Limited Partnership), and SME Development Fund PwC (Hangzhou) Venture Capital Partnership (Limited Partnership). After this round of financing, the registered capital of Silicon-based Liquid increased from approximately RMB 13.758 million...

At the recent annual re:Invent conference held in Las Vegas, Amazon's cloud computing service AWS announced a series of new technologies, highlighting the energy efficiency improvements of its data centers, achieving efficiency levels over four times greater than traditional on-premises computing. AWS head Prasad Kalyanaraman stated that these innovations not only enhance energy efficiency but also flexibly support emerging workloads. Image source note: Image generated by AI, image licensed by service provider Midj.

Nvidia plans to launch the B100AI accelerator with a power consumption of up to 1000W, which represents a 42% increase compared to previous products. A Dell executive stated that the power consumption of GPUs will continue to rise, but direct liquid cooling may no longer be an essential solution. Nvidia's next-generation GPUs may include the B200 Superchip, integrated with the Grace CPU, with power consumption potentially reaching around 1300 watts.

MIT startup Liquid AI has recently completed a seed funding round of nearly $40 million, aiming to create a new type of liquid neural network artificial intelligence. Liquid neural networks are an innovative technology based on liquid neural network architecture, featuring compactness, interpretability, and dynamic adaptability. Funding trends indicate that Liquid AI's valuation has reached $303 million. Liquid AI plans to commercialize liquid neural network technology, with applications in areas such as autonomous driving, weather forecasting, and medical data analysis.

NeevCloud plans to deploy AI cloud infrastructure by 2026, including 40,000 GPUs and $1.5 billion in storage, driving India's self-sufficiency in artificial intelligence and supercomputing. Through the 'AI Supercomputing Service' model, NeevCloud offers cloud GPUs at the lowest global price per hour, reducing costs by up to 50%. The innovative liquid immersion cooling system 'Varuna' addresses data center efficiency issues while significantly reducing energy consumption.