沐叔财经

On August 26, Hunsun shares fell 3.43%, with trading volume of 500 million yuan, a turnover rate of 6.39%, and a total market value of 7.908 billion yuan.
Anomaly analysis
Memory chips + SMIC concept + automotive chips + chip concept + MCU chips
1. Hunsun Semiconductor (Hefei) Co., Ltd. is an integrated circuit design company whose主营业务 is the R&D, design, and sales of memory chips and MCU chips. The company’s main products currently include NOR Flash storage chips and general-purpose 32-bit MCU chips based on the Arm Cortex-M0+ core architecture.
2. Reply on Interactive Investor on March 24, 2023: The company’s wafer foundries mainly include Wuhan Xinxin and SMIC International, with which the company has established long-term and stable cooperative relationships.

August 26 news: According to information from the National Intellectual Property Administration, Shandong Shanda Electric Power Technology Co., Ltd. has applied for a patent titled “A Remote Upgrade Method and System for Power Equipment Based on ARM and FPGA.” The application publication number is CN122633217A, the application number is CN202611122770.2, the application publication date is August 25, 2026, and the application date is July 28, 2026. The inventors are Meng Lingjun, Sun Chaoyue, Shi Lei, Song Chunliang, Ren Liuyan, Zhang Sichao, Wu Xiuqun, and Wu Baosheng. The patent agency is Jinan Shenda Intellectual Property Agency Co., Ltd., and the patent agent is Zhang Qingqian. Classification numbers are G06F8/654, G06F16/16, and G06F16/172.

At the Hot Chips 2026 conference, Arm officially positioned its AGI CPU as a key compute foundation to prevent AI agents from “tripping over themselves.” Eddie Ramirez, Senior Vice President of Marketing for Arm’s Cloud AI business, and Jeff Defilippi, Senior Director of Product Management, provided a detailed explanation of the chip’s technical architecture and market demand.
Market position and growth drivers
Arm data shows that it has delivered 1.5 billion Neoverse cores to data centers, including 500 million delivered within the past nine months. Currently, Arm’s share in the host CPU market for AI server platforms exceeds 60%, and the number of enterprises deploying Arm-based architectures in the cloud has surpassed 120,000.

IT Home August 25 news: Tech media Wccftech published a blog post yesterday (August 24), reporting that at Hot Chips 2026, Arm disclosed details of an AGI CPU aimed at agentic AI. This is the company’s first self-developed, mass-produced chip since its founding 36 years ago.
The processor is based on the 3rd-generation Neoverse V3 cores, built on the Armv9.2 architecture. Up to 136 cores can be configured on a single chip. Each core is equipped with a dedicated 2 MB L2 cache, and the maximum clock frequency is 3.7 GHz.
The chip uses TSMC’s 3nm process (N3P) and a dual-chiplet (Dual Chiplets) design. Each chiplet contains more than 50 billion transistors, while the complete chip has 100 billion transistors. The chip’s maximum TDP is 300 W. The processor integrates memory and I/O on the same chip to support low-latency memory access, with memory latency below 100 ns.

On August 25, Hengshuo Co., Ltd. shares rose 4.16%, with trading volume of RMB 393 million, turnover rate of 4.97%, and total market value of RMB 8.188 billion.
Anomaly analysis
Memory chips + SMIC International concept + automotive chips + chip concepts + MCU chips
1. Hengshuo Semiconductor (Hefei) Co., Ltd. is an integrated circuit design enterprise whose main businesses are the research, design, and sales of memory chips and MCU chips. The company’s current main products include NOR Flash memory chips and general 32-bit MCU chips based on the Arm Cortex-M0+ core architecture.
2. March 24, 2023, an interaction response on Yidongyi: The company’s wafer foundries mainly include Wuhan Xinxin and SMIC International, and it has established long-term and stable cooperation with them.

By | Son of Philadelphia?
1. From hype to necessity: why cloud phones suddenly gained industry attention
A few years ago, in the cross-border e-commerce and social media operations circles, when people mentioned “cloud phones,” many would instinctively react: yet another buzzword that’s being hyped. At that time, what was sold as “cloud phones” in the market was mostly an Android emulator running on x86 servers wrapped in a shell, then branded and marketed as “real devices in the cloud.” On desktops, the usual setup in studios was a row of physical phones, cooling fans, and tangled charging cables. This equipment-stacking model wasn’t without reason—given that on the PC side, fingerprint browsers had already matured in isolating browser environments, the mobile side lacked a similarly reliable and cost-controlled independent environment solution, so people could only rely on real devices to get it done.

Zhizhi.com
Author | ZeR0
Editor | Mo Yin
Zhizhi.com reported on August 24. On August 21, at the Arm physical AI robotics technology research global head Federico Pecora’s keynote speech at the World Robot Conference WRC 2026 developer day, Federico Pecora shared industry thoughts on how physical AI is moving from “capability stacking” to “system-level adaptation.”
Arm physical AI robotics technology research global head Federico Pecora delivered a keynote speech
In the past few years, robots have made significant progress in fields such as perception, cognition, and motion control, and application boundaries have continued to expand. However, when robots move beyond pre-defined rule environments and enter real-world settings with crowded people and many random variables, breakthroughs in single perception or manipulation skills are not enough to support commercial deployment. The real challenge is to enable robots to autonomously and dynamically combine multiple capabilities in unknown scenarios, building a complete intelligent system that is stable and reliable and can adapt its configuration in response.

Zhi Dongxi author | ZeR0
Edit | Murmuring Shadow
In a report on August 24, Zhi Dongxi, at the WRC 2026 Developer Day of the World Robot Conference on August 21, Federico Pecora, Global Head of Physical AI Robotics Technology Research at Arm, delivered a keynote speech, sharing industry thoughts on how physical AI should move from “capability stacking” to “system-level adaptation.”
In recent years, robots have made significant progress in perception, cognition, and motion control, and their application boundaries have continued to expand. However, when robots move beyond the predefined rules of the environment and enter the real world—crowded with people and full of random variables—breakthroughs in a single perception or manipulation skill are not enough to support commercial deployment. The real challenge is enabling robots to autonomously perform dynamic combinations of multiple capabilities in unknown scenarios, building a complete intelligent system that is stable, reliable, and able to adapt and adjust as needed.

459 days ago, Xiaomi released the SUANJIE O1, returning to the table of flagship phone SoCs. 459 days later, not only has the SUANJIE O3 arrived, it has also brought along more “brothers.”
On the afternoon of August 24, Xiaomi held a technology communication meeting on its SUANJIE chips. The负责人 of the SUANJIE chip, Zhu Dan, announced three self-developed chips in one go: the SUANJIE O3 for flagship smartphones, the SUANJIE O100 AI acceleration chip designed for on-device large models, and the SUANJIE D100 high-compute intelligent driving chip for automobiles.
Among them, the SUANJIE O3 will be launched first on Xiaomi’s new-generation wide-folding 18 Fold, and will be officially released in September. As for the other two, their development has already been completed, and they are planned for official commercial use next year.

Source: Shanghai Securities News · China Securities Network
Shanghai Securities News, China Securities Network (Reporters Li Xingcai and Huang Shuhui) On August 21, Granfi announced on its official website that the company has officially launched its first high-performance system-on-chip (SoC) based on the ARM architecture—GF800.
Granfi said that as the company’s key product in transitioning from GPU chip and graphics card suppliers to a full-stack SoC platform provider, GF800 will further convert the company’s long-term technological capabilities in the fields of graphics rendering, parallel computing, and AI acceleration into platform-based, productized capabilities. It will provide highly integrated, highly scalable, and independently controllable system-level computing power platforms for end-side products, edge computing, and industry-intelligent application scenarios.

On August 22, IT Home reported that tech media Linuxiac published a blog post yesterday (August 21). The report said that the open-source compatibility layer Wine released update 11.16, adding support for VA-API hardware video decoding, updating Wine Mono to 11.3, and first adding ARM64 support.
IT Home note: Wine is an open-source compatibility layer that allows running Windows applications on Unix-like operating systems (such as Linux, macOS, and BSD).
VA-API (Video Acceleration API) is an open-source multimedia hardware acceleration standard API led by Intel. It allows operating systems and applications (such as browsers and media players) to directly use the hardware-accelerated graphics cores of the GPU to offload the computational workload of video encoding/decoding (Encode/Decode).

(Source: Economic Daily)
Reposted from: Economic Daily
“In this important market in China, where new robot innovations are continuously emerging, Arm will continue to work hand in hand with local ecosystem partners to advance adaptive robotics technology toward broader real-world applications.” In a keynote speech at the 2026 World Robot Conference (WRC) Developer Day held recently, Federico Pecora (Federico Pecora), Global Head of Research for Arm physical AI robotics technology, said.
During this period, Federico Pecora shared his views on the development of the physical AI industry. He said that, judging by industry development trends, robot capabilities are undergoing three stages. The first stage is cross-object generalization, meaning that a robot can handle different types of objects within the same task workflow without needing to retrain or reprogram for each object. This capability has already been validated in structured scenarios such as sorting, logistics, and retail. The second stage is multi-task intelligence. A unified intelligent platform enables multiple tasks to be performed; robots no longer serve a single fixed workflow, but can switch between different capability combinations according to task requirements. The third stage is system-level adaptation. At that time, both end users and the robots themselves will be able to adjust their capabilities in response to changes in the environment, without redeveloping, retraining, or redeploying the system.

On August 21, Hengshuo shares rose by 1.34%, with trading volume of RMB 317 million, turnover rate of 3.88%, and a total market capitalization of RMB 8.14 billion.
Anomaly Analysis
Storage chips + automotive chips + MCU chips + chip concepts + Xiaomi concept
1. Hengshuo Semiconductor (Hefei) Co., Ltd. is an integrated circuit design enterprise mainly engaged in the R&D, design, and sales of memory chips and MCU chips. The company’s current main products include NOR Flash memory chips and general 32-bit MCU chips based on the Arm Cortex-M0+ core architecture.
2. According to the 2025 annual report: Automotive-grade certification: Some NOR Flash products have already passed AEC-Q100 standard certification. The company will work to achieve certification for the full-capacity series of automotive-grade products to meet the automotive industry’s demand for high-reliability storage solutions.

Valve’s Steam Frame might be the most underrated gaming hardware this year.
And this product is already closer than we think.
A player has discovered that Valve has uploaded eight segments of Steam Frame consumer onboarding videos to Steam Store’s resource servers. The content covers unboxing, wearing, IPD adjustment, login, wireless streaming, and accessory installation.
These materials were quickly taken down by the official source, but they are completely different from typical promotional trailers. They look more like official onboarding materials prepared for consumers after product delivery, with detailed demonstrations of how to wear, adjust, and connect the device upon first hand. They cover the full, basic onboarding process from start to finish.

Microsoft and Amazon Web Services’ latest earnings reports send the same message: Arm-based CPUs have become the core infrastructure for agentic AI.
Recent earnings conference calls from Microsoft and Amazon jointly confirm a trend: custom chips based on the Arm architecture have shifted from earlier technical experiments to becoming a core pillar of hyperscale cloud infrastructure.
Microsoft CEO Satya Nadella summarized this architectural shift in one sentence: “When running agent workloads, the CPU is just as important as the GPU.” He then provided strong evidence: Microsoft expects that by the end of July, racks equipped with Azure Cobalt 200 will be deployed across more than 25 data centers worldwide.

On August 20, Hengshuo Shares rose 2.27%. The trading amount was RMB 382 million, the turnover rate was 4.80%, and the total market value was RMB 8.032 billion.
Anomaly analysis
Memory chips + automotive chips + MCU chips + chip concept + Xiaomi concept
1. Hengshuo Semiconductor (Hefei) Co., Ltd. is an integrated circuit design enterprise mainly engaged in the R&D, design, and sales of memory chips and MCU chips. The company’s current main products include NOR Flash memory chips and general-purpose 32-bit MCU chips based on the Arm Cortex-M0+ core architecture.
2. According to the 2025 annual report: Automotive-grade certification. Some NOR Flash products have already passed AEC-Q100 certification. The company will work to achieve full-capacity series certification of automotive-grade products to meet the automotive industry’s demand for highly reliable storage solutions.

IT Home, August 20 — Tech media NeoWin today (August 20) published a blog post, reporting that some Windows 11 users said that after installing Microsoft’s August cumulative update KB5121003, they were unable to launch applications such as Teams and the new Outlook on ARM64 devices.
Regarding the affected device models, according to user feedback, this issue has been encountered on multiple devices, including the Surface Laptop 7, Surface Pro 11, and HP OmniBook 3.
IT Home, citing the blog post, reports that users said that after installing the update they could run traditional Win32 applications such as Word, Excel, and the classic Outlook; however, apps distributed via the MSIX / AppX distribution format, such as Microsoft Teams and the new Outlook, could not be launched.

Arm Holdings plc (ARM) Chief Financial Officer Jason Child said on Monday that as the company plays an increasingly important role in the development and sale of finished chips, ARM is looking to expand beyond its traditional chip design licensing business into other areas.
Child said in an interview with The Information that Arm may continue making acquisitions, such as buying the network startup DreamBig, because the company wants to shift its business focus from licensing chip designs to manufacturing its own chips.
Child said: “Delivering chips is definitely much more complicated than simply licensing chip designs.”

On August 18, Hengrui Co., Ltd. rose 0.53%, with trading volume of RMB 491 million, turnover rate of 5.59%, and total market value of RMB 8.793 billion.
Anomaly analysis
Storage chips + automotive chips + MCU chips + chip concepts + Xiaomi concept
1. Hengrui Semiconductor (Hefei) Co., Ltd. is an integrated circuit design enterprise principally engaged in the research, design, and sales of storage chips and MCU chips. The company’s current main products include NOR Flash storage chips and general-purpose 32-bit MCU chips based on the Arm Cortex-M0+ core architecture.
2. According to the 2025 annual report: Automotive-grade certification: Some NOR Flash products have passed AEC-Q100 certification. The company will work to achieve full-capacity certification across automotive-grade product series to meet the demand of the automotive industry for high-reliability storage solutions.