At the HUAWEI CLOUD sub-forum, HUAWEI CLOUD stated that it will continue to build a “global one network” service experience, providing global coverage in 29 geographic regions and 78 availability domains in more than 170 countries and regions around the world. 50 milliseconds low-latency user experience.

This year, HUAWEI CLOUD will successively launch new nodes in Turkey, Saudi Arabia, the Philippines, Egypt and other places to provide services to customers in more countries and regions around the world.

In the field of cloud-native, HUAWEI CLOUD officially launched CCI and CCE AutoPilot services on the basis of distributed cloud native UCS and CCE Turbo. Users can use cluster resources through APIs to achieve the experience of creating 4,000 containers within 30 seconds.

The 100-billion-level parameter pre-training model “Huawei Cloud Pangu Large Model” has now been implemented in more than 100 scenarios in more than ten industries such as meteorology, coal, and medical care.

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It is learned from the data released by Huawei Cloud that Huawei Cloud CodeArts Repo now manages and protects 110 billion lines of codes in Huawei, supports 150,000 people in development operations, averages 100 million downloads per day, 1PB transmission traffic, and 300 million API calls, a system supports the code management and collaborative development of Huawei’s embedded, cloud, terminal, car and other types of products.

HUAWEI CLOUD said that it has deposited its internal code management capabilities accumulated over the years into the CodeArts Repo tool and released 6 major features:

Self-developed kernel to ensure code security, stable and efficient development;

Cover the main workflow based on Git to meet a variety of development scenarios;

Multi-form code inspection activities to improve code quality and transfer development experience;

Quality access control to ensure that each line of incoming code is Clean;

Record the ins and outs of the code, two-way traceability;

A variety of built-in templates ensure orderly development.

According to Huawei Cloud, CodeArts Repo technically breaks through the IO bandwidth limit of the underlying hardware, modifies the Git kernel to improve file download addressing efficiency, and applies multi-level caching to improve code download efficiency. In addition, HUAWEI CLOUD CodeArts Repo supports all workflows such as Git Flow, Gitlab Flow, and Github Flow.

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Huawei Cloud said that CodeArts Check has built its own engine, which can help users analyze the seven quality features of code: readability, maintainability, security, reliability, testability, efficiency and portability in one scan.

According to the introduction, Huawei Cloud CodeArts Check supports ISO 5055, CERT, CWE, OWASP TOP10, SANS TOP 25 industry mainstream programming standards and good practices, while built-in Huawei terminal, network, cloud computing, chip and other products programming specifications.

In addition, Huawei Cloud CodeArts Check supports more than ten common development languages such as C, C++, Java, Python, GO, etc., which can meet the needs of embedded, cloud services, WEB applications, mobile applications and other development scenarios. It provides more than 7000 check rules and more than ten rule sets such as comprehensive check rule set, mobile domain rule set and Huawei programming specification rule set.

Huawei data shows that Huawei Cloud CodeArts Check is responsible for high-frequency code checking for more than 150,000 software developers within Huawei, scanning 50 billion to 100 billion lines of code on average per day. At the same time, Huawei Cloud CodeArts Check provides a rich API interface and IDE code checking plug-ins.

Huawei Cloud said that CodeArts Check will continue to enhance automatic repair and deep code security check capabilities in the future, and further enhance the openness and scalability of the platform.

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Specifically, “1+3+M+N” means

Global 1 Automotive Storage and Computing Network: Huawei Cloud Global Automotive Storage and Computing Network is a distributed cloud infrastructure with global coverage and a unified architecture, creating a 30ms (millisecond) latency coverage circle to meet the different latency requirements of enterprise business and enabling global deployment of Telematics. Currently, Huawei Cloud Global Storage and Computing Network KooVerse covers 75 availability zones in 29 geographic regions around the world, providing services to customers in more than 170 countries and regions worldwide.

3 mega data centers to build an automotive zone: In China, Huawei Cloud relies on 3 mega cloud core hubs in Ulanqab, Gui’an and Wuhu to build a green, efficient, secure and compliant automotive zone.

M distributed Telematics nodes: Huawei Cloud cooperates with China Unicom and other operators to build multiple distributed Telematics nodes in Beijing, Shanghai, Guangzhou and other cities to support the efficient uploading of Telematics data to the cloud.

N automotive-specific data access points: Huawei Cloud has planned and built more than 50 automotive-specific data access points across the country to ensure 24-hour access to the cloud for autonomous driving R&D data.

At the meeting, Huawei Cloud also released a number of innovative solutions in supporting the upgrade of automotive and vehicle enterprises’ data intelligence.

In the field of autonomous driving, Huawei Cloud works with industry partners to provide end-to-end autonomous driving R&D solutions for automotive enterprises and autonomous driving algorithm companies to support the business closure of autonomous driving data.

First, for the massive data of the autonomous driving business, Huawei Cloud joins hands with partners to build more than 50 dedicated data access points for automobiles nationwide to support 24-hour data uploading to the cloud. After the cloud, the massive data storage can reduce the cost by 50% through Huawei Cloud’s three-tier linkage storage solution.

Second, for AI algorithm training, Huawei Cloud AI development production line ModelArts supports end-to-end training efficiency improvement; distributed multi-level caching technology can shorten the training time by 50%; for large-scale cluster training, topology-aware scheduling and dynamic soft routing technology can improve training performance by 30%.

In addition, for the security compliance of autonomous driving, Huawei Cloud jointly builds an autonomous driving zone with graphical vendors, which can realize exclusive deployment and physical isolation; at the same time, Huawei Cloud jointly partners to provide customers with the whole process of security compliance services.

In the field of intelligent networking, Huawei Cloud released a distributed Telematics solution to support the deployment of distributed Telematics nodes in hotspot cities such as North, Shanghai and Guangzhou to achieve a 10 ms delay circle covering hotspot areas, while Huawei Cloud provides a Tb-level cloud backbone to support high-speed Telematics data into the cloud.

In addition to innovations in distributed Telematics and autonomous driving, Huawei Cloud also released a software-defined car solution that enables car-cloud collaboration and helps car enterprises build next-generation automotive application development platforms; it also released a digital platform solution for car enterprises, which supports car enterprises in five areas: multiform unified cloud platform, technology service platform, software development platform, digital intelligence integration platform, and security and governance platform. The solution will support car enterprises to build digital platforms more quickly and accelerate the upgrade of car enterprises’ digital intelligence.

Panorama of Huawei Cloud’s automotive industry solutions

At the meeting, Huawei Cloud also joined Great Wall Motors, BYD, Chinese Express and dozens of other autonomous driving industry partners to launch the “Create an Open Industry Chain Action Initiative for Automated Driving”.

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This growth in partners also attracts more developers to the cloud service. The tech giant gave out information that the number of developers on the cloud now exceeds 3.02 million. More partners and developers on the cloud service mean that more applications will come to the App Store. Currently, these applications are now over the 7,400 mark.

Huawei plans to add over 1.4 million developers to its cloud service. This will help drive the growth of Huawei mobile services, Harmony OS, Ascend, and other of Huawei’s products. This might make up for the lack of Google services within the Huawei ecosystem, hence making it more user-friendly.

Huawei Cloud will also release 15 innovative services, GoCloud, and GrowCloud frameworks. These innovations will cover services as an experience, as a technology and as infrastructure. These innovations include five aPaaS services for industrial, government, heating, coal mining, and education. We look forward to what Huawei will achieve with the announcement of this milestone.

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