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Tianyi Cloud has carried out three major upgrades, comprehensively building a strong cornerstone for the artificial intelligence era
The emergence of large models marks a change in the artificial intelligence production paradigm and also brings about a significant improvement in the efficiency of economic and social development. As the application of large models gradually deepens, the demand for scenario-based vertical industries is particularly urgent. It has become an important trend for large model training and application to move toward in-depth industry customization. However, large models are facing many challenges such as difficulty in construction, high technical threshold, and difficulty in ensuring safety as they move from general use to deep industry customization.
On September 27, at the Tianyi Cloud China Tour·Guizhou Station event, Hu Zhiqiang, general manager of Tianyi Cloud Technology Co., Ltd., said that Tianyi Cloud, as a national cloud service team, has upgraded Tianyi Cloud around three aspects: computing power, platform, and security. Intelligent computing capabilities form a strong cornerstone of the AI era and inject new momentum into the digital and intelligent transformation of the industry.
Tianyi Cloud has scientifically planned and built intelligent computing power in terms of computing power based on the existing "2 4 31 Among them, training computing power is deployed centrally, taking advantage of the low-cost advantages of western nodes such as Guizhou and Inner Mongolia and the integration advantages of China Telecom's cloud network to efficiently meet customers' large model training needs. The inference computing power is deployed to one city and one pool of nodes based on the customer's scenario needs. In the future, China Telecom will give full play to the advantages of China Telecom's nationwide edge computer room nodes and further deploy them on demand to provide large bandwidth, low latency, and high security. Inference services, closer to customers
In terms of platform, Tianyi Cloud has established a huge-scale training cluster and inference cluster integrated platform, providing full life cycle services from training data management, large model training and fine-tuning, deployment and inference, realizing model training, The standardization and pipeline of fine-tuning and inference lower the threshold for creating and using large models. Tianyi Cloud provides a complete large-scale model training, deployment and inference toolset, and has built-in mainstream open source large models and open source data sets, allowing users to devote more energy to data preparation, model training and evaluation
In terms of security, while large models are widely used, a series of security risks are also derived. Tianyi Cloud practices the concept of paying equal attention to development and security, and continues to improve its ability to prevent and resolve risks through a series of security protection measures and security detection methods such as platform security, data security, and content security, and provides safe and credible large model training and Deploy an environment to effectively prevent risks such as legal compliance, data and privacy protection, content tampering, and code attacks.
Tianyi cloud computing platform and services have cooperated with leading artificial intelligence partners such as Huawei, ZTE, SenseTime, Yitu, Zhiyuan Research Institute, National Supercomputing Chengdu Center, and Parallel Technology. Ceremonies such as the launch of artificial intelligence large model application promotion actions and the signing of ecological cooperation contracts for large models and computing power industries were also held at the meeting. In the context of the in-depth development of digital technology and the continuous improvement of the level of artificial intelligence, the application value of large models in understanding and solving practical problems continues to be highlighted. Tianyi Cloud will continue to be driven by technological innovation and rely on the Guoyun platform to work with its partners to build a powerful computing power cornerstone for industry customers in the AI era
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