Gongbang·New Ecology of Industrial Interconnection Bangxun 01 Introduction Edge Artificial Intelligence (Edge AI) refers to the development and deployment of artificial intelligence (AI) algorithms and programs on edge devices. It is a form of edge computing characterized by analyzing and processing data near the location where it is generated or collected. In contrast to Edge … Read more
Gongbang·New Ecology of Industrial Interconnection Gongxun 01 Introduction Edge Artificial Intelligence (Edge AI) refers to the development and deployment of artificial intelligence (AI) algorithms and programs on edge devices. It is a form of edge computing characterized by analyzing and processing data near the location where it is generated or collected. In contrast to Edge … Read more
In the article “Practical Implementation of Embedded AI: Let Ethos-U NPU Run Your Model,” we attempted to load models and invoke the NPU for hardware acceleration of inference using the M33 core of the i.MX 93 MPU. This MPU also has two A55 cores, and this article utilizes the A55 running Linux to achieve similar … Read more
Custom chips are rapidly reshaping the AI industry landscape, with the competition for computing power behind large models like GPT-5 and Gemini quietly shifting. As the global AI race reaches a fever pitch in 2025, a transformation in computing architecture is quietly taking place. While NVIDIA GPUs continue to dominate in training, ASIC (Application-Specific Integrated … Read more
Recommended public account to follow ↓In today’s rapidly advancing artificial intelligence technology, the choice of computing hardware has become a key factor driving AI progress. The AI chip market in 2025 shows a clear “dual-track parallel” pattern, with Graphics Processing Units (GPUs) continuing to dominate with a 60% global market share, while Application-Specific Integrated Circuits … Read more
In the ASIC market, some recent statements heard are contradictory. “Among the many ASIC projects globally, 90% will fail,” said NVIDIA CEO Jensen Huang. Huang’s comments on ASIC are not frequent. Therefore, once the related remarks were made, discussions about the growth potential of ASIC surged in the market, with various speculations emerging. Huang stated … Read more
In the ASIC market, some recent statements heard are contradictory. “Among the many global ASIC projects, 90% will fail,” said Jensen Huang, CEO of NVIDIA. Huang’s comments on ASIC are not frequent. Therefore, once the related remarks were made, discussions about the growth potential of ASIC surged in the market, with various speculations emerging. Huang … Read more
On August 14, 2025, the Financial Times reported that DeepSeek encountered persistent technical issues while training the R2 using Ascend chips, prompting a switch to NVIDIA chips for training, and using Huawei chips for inference.These issues are the main reason for the postponement of the model’s release date from May.Training is the process of optimizing … Read more
👆If you would like to meet regularly, feel free to star 🌟 and bookmark it~ In the rapidly growing artificial intelligence market over the past few years, besides NVIDIA, another chip winner has emerged: SK Hynix. According to financial data, SK Hynix achieved revenue of $16.23 billion in the second quarter of 2025, with profits … Read more
This article is reprinted from: Note: The code may not be fully visible on mobile, you can swipe left and right to view the code! 1How to Use YOLOv4 First, you need to set up the darknet environment by downloading the darknet GitHub repository: $ git clone https://github.com/AlexeyAB/darknet.git $ cd darknet Next, you need to … Read more