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Tencent officially launched and open-sourced a new member of the Hypermix large model family - the Hypermix-A13B model. The model adopts an expert mixture (MoE) architecture, with a total parameter scale of 80 billion and an activated parameter count of 13 billion. It maintains the performance of top-tier open-source models while significantly reducing inference latency and computational costs, providing a more cost-effective AI solution for individual developers and small and medium-sized enterprises.

Hoje, o Hello, o Grupo Ant e a BYD, por meio de seus investidores, registraram conjuntamente a empresa Shanghai Zao Fu Intelligent Technology Co., Ltd. em Xangai. Esta nova empresa

According to a new analysis, the power consumption of artificial intelligence is expected to reach nearly half of the total electricity consumption of global data centers by the end of 2025, meaning AI energy consumption will soon surpass bitcoin mining. The analysis was conducted by Alex de Vries-Gao, a Ph.D. student at the Environmental Institute of Vrije Universiteit Amsterdam. He has previously tracked the power consumption and environmental impact of cryptocurrencies and published related data on his website Digiconomist. Currently, AI has already accounted for a significant portion of data center energy usage.

En la era digital, la comodidad y seguridad de la identificación del usuario se vuelven cada vez más importantes. OpenAI anunció recientemente que está trabajando en una manera de

MegaT AI Search has launched a brand new Ultra-fast model, marking a significant breakthrough in its artificial intelligence search technology. Through innovative technical means, the response speed of MegaT AI Search has reached an amazing 400 tokens/second, ensuring that most questions can be answered within 2 seconds. This advancement not only enhances user experience but also significantly improves information retrieval efficiency. The realization of the Ultra-fast model is thanks to the application of multiple advanced technologies. The MegaT AI team has optimized on GPUs using ker

Recently, MiTA AI Search officially launched the new ultra-fast model, bringing users a more efficient and accurate search experience. The MiTA AI Search team successfully achieved a maximum response speed of 400 tokens/second on a single H800 GPU through kernel fusion technology on GPUs and dynamic compilation optimization strategies on CPUs, with most responses provided within 2 seconds.

Recently, Mistral AI, headquartered in Paris, France, in partnership with All Hands AI, has launched an open-source AI model designed specifically for software development — Devstral. This model boasts up to 24 billion parameters and is currently in the "research preview" stage, released under the Apache2.0 open license, allowing developers and enterprises to use it freely in commercial applications. The release of Devstral marks a significant step forward for AI in the programming field.

Aethir, a decentralized GPU cloud computing provider, today announced the launch of an industry alliance called "AI Unbundled" to advance the Web3 artificial intelligence ecosystem. This initiative brings together leading organizations including 0G Labs, Biconomy, Polyhedra, Oasis Protocol Foundation, ChainGPT, IoTeX, iExec, Geodnet, Flock.io, and Alpha Ne.

Intel recently announced the open-sourcing of its AI Playground software, designed for local generative AI. AI Playground provides a powerful platform for running AI models on Intel Arc GPUs. It supports various image and video generation models, as well as Large Language Models (LLMs), significantly lowering the hardware barrier for AI applications by optimizing local computing resources. The project is available on GitHub and has attracted developers and AI enthusiasts worldwide.

Intel has announced the open-sourcing of its generative AI software, AI Playground, generating significant interest within the AI community. Optimized for Intel Arc GPUs and integrated graphics, AI Playground is described as an 'AI hub' that supports local running of chat-based Large Language Models (LLMs), as well as image and video generation capabilities. This open-sourcing signifies Intel's commitment to advancing the accessibility of generative AI technology.

AMD's advancements in AI are noteworthy, particularly its latest optimizations for the Stable Diffusion model. Recently, Stability AI released an ONNX-optimized version of Stable Diffusion, resulting in significantly improved performance for AMD Radeon GPUs and Ryzen integrated graphics in AI tasks, with speed increases up to 3.8 times faster. This progress narrows the gap with NVIDIA's ecosystem...