Huawei MindSpore's chief scientist, Professor IEEE Fellow Chen Lei, announced today that Huawei's full-scenario AI computing framework MindSpore is officially open sourced in Code Cloud.
Today is the second day of the Huawei Developer Conference 200 (Cloud). Chen Lei said that Huawei will be committed to building a global open source community and continuously promoting the prosperity of the open source ecosystem of AI software and hardware applications.
In August last year, Huawei released the most powerful AI chip Asscend910 at the Shenzhen headquarters, and launched MindSpore, a full-scene AI computing framework.
At that time, Xu Zhijun, Huawei's rotating chairman, stated that in order to promote AI applications, Huawei's full-scenario AI computing framework MindSpore will be open source in the first quarter of 2020.
MindSpore focuses on improving ease of use and lowering the development threshold for AI developers.
Chen Lei said that MindSpore natively adapts to each scene including end, edge, and cloud, and is able to make the development state more friendly by implementing AI algorithms as code on the basis of on-demand collaboration, significantly reducing model development time and model Development threshold.
Through MindSpore's own technological innovation and the collaborative optimization of MindSpore and Huawei's Ascend AI processor, it has achieved high operating efficiency and greatly improved computing performance. MindSpore also supports GPU, CPU and other processors.
In addition, for industry AI application developers, Yuan Jing, general manager of Huawei Cloud Universal AI Services, released the industry's first enterprise-level AI application development professional suite ModelArts Pro.
Huawei Cloud ModelArts Pro is positioned as an enterprise AI productivity tool, which can comprehensively improve the industry's AI development efficiency and landing effect.
Huawei also demonstrated the cloud-side full-scenario development practices of partners in various industries based on Huawei's artificial intelligence computing platform Atlas.
So far, Huawei's full-stack full-scenario AI solution released at the 2018 Full Connect Conference has been fully implemented for developers.
At the 2018 Huawei Fully Connected Conference, Huawei for the first time released a full-stack full-scenario AI solution, including chips, chip enablement, training and inference frameworks, and application-enabled full-stack solutions, which can be used in public clouds, private clouds, various Full-scene deployment of edge computing, IoT industry terminals, and consumer terminals.
Speaking of Huawei's AI strategy at the Asscend910 conference last year, Xu Zhijun said that Huawei's positioning of AI is a new general-purpose technology, which will be applied in the same way as railways and electricity in the 19th century and automobiles, computers, and the Internet in the 20th century. To almost every part of the economy.
At the same time, Huawei also believes that the application of AI is still in its infancy, and AI technology and capabilities are still far from long-term expectations. Reducing or even eliminating these gaps and accelerating the application of AI is the original intention and goal of Huawei's AI strategy.
