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Shanghai is actively promoting innovation and upgrading within its automotive industry, focusing on the application of advanced technologies including high-performance computing chips and intelligent driving large models. This initiative aims to enhance the competitiveness and technological advancement of the city's automotive sector.

The JEDEC Solid State Technology Association has announced the highly anticipated release of the High Bandwidth Memory (HBM) standard – HBM4. Evolving from the HBM3 standard, HBM4 aims to further accelerate data processing while maintaining higher bandwidth, energy efficiency, and greater capacity per chip or stack, to meet the demands of efficient processing of large datasets and complex computations. The HBM4 standard introduces several key technological advancements, suitable for applications in generative AI, high-performance computing, high-end graphics cards, and servers. Firstly, HBM4 significantly increases bandwidth...

The EU recently announced a €20 billion (approximately £17 billion) plan to establish multiple AI factories across Europe, equipped with high-performance computing resources to drive the development of next-generation AI models. This strategy aims to establish Europe as an "AI continent." According to EU Commission Vice-President Henna Virkkunen, AI is crucial for enhancing Europe's competitiveness, security, and technological sovereignty in the face of intense global competition. Currently, the US and...

OpenAI today announced the release of its latest high-performance inference model, O1-Pro. OpenAI states that the model offers significant improvements in performance and capabilities and is currently available to a select group of developers. O1-Pro is designed for developers building applications with 1-5 layers, supporting features like visual input, function calling, and structured outputs. It seamlessly integrates with OpenAI's response and batch processing APIs. However, this enhanced performance comes at a cost...

On March 6, 2025, a new language model called **Light-R1-32B** was officially launched. Built upon the **Qwen2.5-32B-Instruct** model, this mathematical problem-solving tool, specially trained for exceptional mathematical abilities, low training costs, and reproducibility, is a significant highlight in the field of artificial intelligence. The development team xAI stated that Light-R1-32B not only surpasses similar models in performance but also provides significant benefits for academic research and practical applications.

Schneider Electric recently released a report on the future power consumption of artificial intelligence (AI) data centers, urging policymakers to carefully guide the power usage of AI data centers. The study was published following last month's International Energy Agency (IEA) Global Energy and AI Conference, titled 'Artificial Intelligence and Power: A System Dynamics Approach.' The report explores various scenarios of power consumption related to AI, highlighting the potential strain on the power grid from the continuously growing AI infrastructure. Image source note: Image generated by AI, image.

Against the backdrop of rising global chip demand, semiconductor manufacturing company TSMC announced its financial results for the third quarter of 2024, which were impressive. The company reported a net profit of NT$352.3 billion (approximately $10.1 billion), an increase of 54% compared to the same period last year. This achievement surpassed market analysts' expectations, with Reuters previously estimating a net profit of NT$300.2 billion. Image source: The image was generated by AI, provided by the image licensing service Midjourney. TSMC is a global leader in advanced chips.

Recently, NVIDIA's latest generation Blackwell GPU has sparked unprecedented demand, with CEO Jensen Huang revealing in an investor meeting that the supply for the next 12 months is completely sold out. This phenomenon is similar to the explosive demand for the Hopper GPU a few months ago, indicating a strong market desire for high-performance computing. This surge in sales is primarily driven by traditional clients, including AWS, Google, Meta, Microsoft, Oracle, and CoreWeave.

Recently, Foxconn (Hon Hai) and Nvidia announced an exciting collaboration plan to build a massive supercomputer. This computer will use Nvidia's latest Blackwell chip architecture and is named the 'Hon Hai Kaohsiung Supercomputing Center'. This project was officially unveiled during the recently concluded Foxconn Technology Day event. Image credits: The image is generated by AI, and the image is licensed by service provider Midjourney. The scale of this supercomputer is enormous.

On July 4, 2024, the Shanghai Artificial Intelligence Laboratory launched the new version of the Shusheng·Puyang series model, InternLM2.5, at the WAIC Scientific Frontier Main Forum. This version has significantly enhanced reasoning capabilities in complex scenarios, supports 1M ultra-long context, and can autonomously perform internet searches and integrate information from hundreds of webpages.

Google introduces Gemini Pro, the best model for text and image inference tasks in Android applications. Prototype and run prompts using Google AI Studio, and export the model as code. Android applications can access the Gemini model through the Google AI Client SDK. Gemini also offers multimodal models and a smaller version, Gemini Nano. Gemini Nano can run on-device, ensuring predictable latency and data security for offline applications.

The Yuanxiang Open Source High-Performance Large Model XVERSE-65B-2 Base Version focuses on enhancing code and math capabilities. XVERSE-65B-2 has been optimized in Continual Pre-Training, with a total training token volume of 3.2 trillion. Yuanxiang's large model surpasses GPT-3.5 and Llama2-70B in comprehensive evaluations, and it significantly exceeds open-source benchmarks. XVERSE-65B performs exceptionally well in SuperCLUE Chinese general large model tasks.

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YuanXiang announced the open-source high-performance large model XVERSE-65B-Chat edition, which is unconditionally free for commercial use. XVERSE-65B ranks first in the national open-source total score in the SuperCLUE comprehensive benchmark assessment for Chinese general large models. XVERSE-65B has stronger understanding, generation, logic, and memory capabilities, capable of handling more diverse and challenging tasks. YuanXiang has open-sourced three large models with 7 billion, 13 billion, and 65 billion parameters, among which XVERSE-65B is one.

NTT plans to provide a large-scale language model (LLM) to companies in March next year, serving as a foundation for generative artificial intelligence to learn Japanese. By focusing on specific industries, NTT aims to lower the costs of model training and operation. NTT hopes to compete with American tech giants by offering its large language model, with a target of achieving over 100 billion yen in annual sales by fiscal year 2027.

Bit Digital is rapidly expanding its business into the AI infrastructure sector by signing agreements to provide cloud-based GPU resources for clients at its data centers. The profit margins in artificial intelligence are higher, which can provide stable revenue for the company's core business. The company is purchasing high-performance computing equipment to deploy at data centers and provide services to AI firms, transitioning to AI business to diversify Bit Digital's revenue sources.

High-performance computing systems have improved the speed, accuracy, and reliability of genomic research. Artificial intelligence is being integrated into classic high-performance computing simulations and workloads. AI accelerates high-performance computing, opening up new application scenarios. AI achieves speed enhancements beyond the capabilities of high-performance computing, such as a 1000-fold increase. The combination of high-performance computing and artificial intelligence provides strong momentum for drug discovery research.

French startup Mistral AI has recently released the exceptional Mistral7B language model, available for free to all users. The Mistral7B model performs outstandingly, and users can download it without any restrictions. The model is released under the Apache 2.0 license with no usage or duplication limitations. Mistral plans to launch paid products that will provide weights and source code as a white-box solution. Mistral AI aims to be a major supporter of the open generative AI community and provide cutting-edge solutions.