The database offers an entire range of high-performance data warehouse solutions for customers in various sectors including financial, logistics and others
Chinese telecom equipment manufacturer Huawei introduced a latest version of its artificial intelligence (AI)-Native database GaussDB that taps AI capabilities to automate and accelerate the major database management tasks.
The new database is launched with the aim to redefine data infrastructure via a strategy of data + intelligence.
The latest version of the proprietary database, a part of FusionSphere OpenStack cloud platform of Huawei, enables self-tuning, self-healing and self-diagnosis, along with other tasks while maintaining and operating databases.
The database is available on-premise, in the private clouds and through public cloud service of Huawei. In addition, it comes with the industry’s first reinforcement learning self-tuning algorithm.
On Huawei Cloud, the database offers an entire range of high-performance data warehouse solutions for customers in various sectors including financial, logistics, Internet, automotive and education.
Fostering a complete computing ecosystem
Speaking about the development, David Wang, Executive Director of the Board and President of ICT Strategy & Marketing, Huawei, said, “Humanity is entering the age of an intelligent world. Data is the new factor of production, and intelligence the new productivity. Heterogeneous, intelligent, and converged databases will become the key data infrastructure of the financial, government, and telecoms industries.”
“AI-Native database GaussDB will help enhance Huawei Cloud’s capabilities and fully unleash the power of diversified computing, which includes x86, ARM, GPU, and NPU computing. We aim to continuously push our AI strategy forward and foster a complete computing ecosystem. Together with our partners, we will move further towards the intelligent world,” he added.
Huawei is committed to creating a fully connected, intelligent world and is contributing to smart devices and ICT infrastructure. The company continues to innovate and invest in AI computing power, labeled data and algorithms, with a number of breakthroughs.