I greatly benefited from a conversation with a chip expert. One key idea he conveyed to me is that when discussing chips, one must first consider the application scenarios. When talking about GPUs, SoCs, and various chips, it is essential to discuss them in the context of their usage scenarios. For instance, the sudden popularity … Read more
Cambricon (688256) is the first domestic AI chip stock in China, focusing on cloud training and inference chips, with extensive self-developed IP licensing and a well-established computing power layout, showing high growth potential.Innosilicon (688008) is a leader in memory interface chips, essential for AI servers relying on DDR5 interfaces, benefiting from the computing power infrastructure.Jingjia … Read more
Cover and article illustrations source:https://www.diandong.com Abstract: Edge computing is becoming the core technology driving the development of distributed energy. In the face of the rapid growth of distributed energy such as photovoltaics and wind power, as well as the challenges of grid integration, edge computing brings data processing capabilities closer to the energy production and … Read more
2025 Edge Computing Frontier Station lDC Industry: The Computing Power Cornerstone of the Digital Economy Working Together for a Connected World · Greetings from Ark · Dear family of Ark Academy, hello! I am your Ark partner, Xiao Zhou. Today, we will talk about lDC Industry: The Computing Power Cornerstone of the Digital Economy. 01 … Read more
In the implementation of Industry 4.0, are you often troubled by these issues: Slow device data transmission, cloud lagging affecting efficiency? Scattered on-site power and network devices, cumbersome deployment and maintenance? Incompatible protocols between old devices and new systems, creating data “islands”? The Caimo CM520 series 5G edge computing gateway,with 3 core products + real … Read more
[AI Overview]The edge computing hardware market is experiencing an unprecedented “Cambrian explosion.” On one side, NVIDIA has released the Jetson AGX Thor, pushing the performance of the “robot brain” to new heights with a terrifying computing power of up to 2070 TFLOPS; on the other side, manufacturers like ESP32 and Libre Computer are deeply cultivating … Read more
Recently, our technical team was invited to attend the 2025 Deep Edge Computing Industry Ecosystem Conference, bringing back cutting-edge insights from the industry. The conference pointed out that edge computing is facing “implementation difficulties, high costs, and fragmentation” as three major challenges, while the rise of open source large models is providing new ideas for … Read more
Edge computing systems & edge AI computers & edge AI systems (brain) Closed OODA LoopA four-stage decision-making framework consisting of Observation, Orientation, Decision, and Action The OODA Loop is a decision-making framework proposed by U.S. Air Force Colonel John Boyd, with the four stages abbreviated in English as follows: Observe (Observation) Orient (Orientation) Decide (Decision) … Read more
Real-Time Inference Detection of Industrial Defects (C++)Source Code https://www.gitpp.com/robolao/project0828009-limr_cpp Introduction to the Open Source Project for Real-Time Inference Detection of Industrial Defects (C++) Project Background and Core Value In the context of industrial defect detection, edge computing devices have extremely stringent requirements for model inference speed. This project is based on the LiMR model (Lightweight … Read more
Conclusion in one sentence: “Computing power is not only in the data center but also in your pocket and on your desk.” The explosion of edge SoCs (including NPUs) comes from three forces: Platform Barriers (Apple/Google/Microsoft embedding functional tickets into chip specifications), User Demand (privacy/low latency/offline), and Cost Optimization (cloud inference is too expensive). This … Read more