Скачать или смотреть A String of Huawei's 2025 Tech Breakthroughs

A String of Huawei's 2025 Tech Breakthroughs
Why do they defy conventional wisdom? Why can they lead industry change?
The tech world has been buzzing lately with new technologies and breakthroughs emerging one after another. But the most eye-catching of them all has to be a series of stunning breakthroughs from Huawei. On July 19, Huawei released its Pangu 3.0 satellite remote sensing large model, which is so powerful it can identify ships, aircraft, and ports in a single 512×512 km² image in just 3 seconds. The speed is simply jaw-dropping! Then, on July 30, Huawei unveiled the "NearLink 2.0" roadmap, with the ambitious goal of having it in 10 million vehicles by 2026, aiming to become a "car-grade Wi-Fi 7 replacement." This is a huge ambition. On August 6, Huawei's HiSilicon announced the successful tape-out of its 5nm automotive MCU, with mass production expected in the first quarter of 2026. This string of announcements has created a stir in the tech world like a series of heavy bombs.
Seeing this, many people might be wondering: What is Huawei's secret? How can it achieve so many astonishing breakthroughs in such a short time? What is the "secret weapon" of Pangu 3.0 that allows it to create a closed data loop from satellite to ground to terminal? Can NearLink 2.0, when used in vehicles, truly replicate the disruptive legacy of Bluetooth + Wi-Fi as Huawei claims? And why has the 5nm automotive MCU become the "final puzzle piece" for Huawei's automotive business unit (BU)? Don't worry, let's dive into the world of Huawei's technology to find out.

1. Pangu 3.0: The Key to a Closed Data Loop
In this digital age, data is the most valuable asset. The problem is that satellite data, ground data, and terminal data have been like three isolated groups, rarely interacting with each other. This has been a headache for many scientists. Huawei's Pangu 3.0 satellite remote sensing large model is the "golden key" to this problem.
Let's look at the U.S. In the field of satellite remote sensing, the U.S. has invested heavily in manpower, materials, and finances. Companies like DigitalGlobe have multiple high-resolution commercial remote sensing satellites that can acquire massive amounts of satellite imagery. However, they face many challenges in data processing and application. Data integration is difficult because data from different sources have different formats and precisions, making it almost impossible to "stitch" them together. In addition, the data processing speed can't keep up, often missing opportunities because the data is processed too slowly.