Alibaba Cloud upgrades AI infrastructure, half of China's large companies choose Alibaba Cloud!

On October 31, 2023, Alibaba Cloud CTO Zhou Jingren said at the 2023 Yunqi Conference that in order to cope with the intelligent era, Alibaba Cloud will upgrade cloud computing through comprehensive technological innovation, from underlying computing power to AI platforms to model services. system to create the most open cloud platform in the AI ​​era. At the venue, Zhou Jingren announced the latest progress in basic cloud computing capabilities, upgraded the artificial intelligence platform, and released the large-scale general model "Qianwen 2.0" with a parameter scale of hundreds of billions, as well as the one-stop model application development platform Alibaba Cloud Hundreds of refinements. At present, Alibaba Cloud has initially built a full-stack cloud computing system in the AI ​​era

"Currently, half of China's large model companies are running on Alibaba Cloud, and 2.8 million AI developers are active in the Alibaba Cloud Magic Community. In the future, Alibaba Cloud will join hands with thousands of industries to promote AI innovation and share technology dividends." Zhou Jingren said.

AI infrastructure will be upgraded in all aspects

Rewritten content: Large models are the core technology of the current AI wave, and the quality of the basic model determines the prospects of AI industrialization to a large extent. Training large models is a systematic project, involving complex technologies such as computing power base, network, storage, big data, AI framework and AI model. Only a powerful cloud computing system can train high-quality large-scale models

Zhou Jingren said that in 2009, Alibaba Cloud proposed the concept of "the data center is a computer". Today, the AI ​​era requires such a technical system even more. As a supercomputer, cloud computing can efficiently connect heterogeneous computing resources, break through the bottleneck of a single performance chip, and collaboratively complete large-scale intelligent computing tasks.

In order to ensure stable interconnection and efficient parallel computing for large-scale model training, Alibaba Cloud has completely upgraded the artificial intelligence platform PAI. The bottom layer of PAI adopts the HPN 7.0 new generation AI cluster network architecture, which supports cluster scalability up to 100,000 cards. The ultra-large-scale distributed training acceleration ratio is as high as 96%, far exceeding the industry level. In large-scale model training tasks, more than 50% of computing resources can be saved, and the performance is in a leading position globally

Alibaba Cloud Tongyi large model series is trained based on the artificial intelligence platform PAI. In addition to Tongyi Large Model, half of China's major model companies run on Alibaba Cloud. A large number of leading companies and institutions such as Baichuan Intelligence, Zhipu AI, Zero One Wish, Kunlun Wanwei, vivo, and Fudan University are all trained on Alibaba Cloud. Large model.

Wang Xiaochuan, founder and CEO of Baichuan Intelligence, said: "Baichuan has released 7 large models in just half a year since its establishment. Rapid iteration is inseparable from the support of cloud computing." Baichuan Intelligence and Alibaba Cloud have conducted in-depth cooperation. With the joint efforts of , Baichuan successfully completed the training task of the kilocalorie large model, effectively reducing the cost of model inference and improving the efficiency of model deployment

Alibaba Cloud has become the public AI computing power base for China's large models. Up to now, many mainstream large head models in China have provided API services to the outside world through Alibaba Cloud, including Tongyi series, Baichuan series, Zhipu AI ChatGLM series, Jiang Ziya general large models, etc.

As the industrialization of AI gradually deepens, there will inevitably be an explosion in demand for large-scale intelligent computing power. Alibaba Cloud has built 89 cloud computing data centers in 30 regions around the world, providing more than 3,000 edge computing nodes. The advantages of low latency and high elasticity of cloud computing will be fully utilized. This year, Alibaba Cloud successfully supported the short-term and high-intensity traffic burst of Miaoya Camera, which is popular across the entire network.

Autonomous driving towards the cloud

Zhou Jingren said that with the integration of large-scale model technology and cloud computing, we hope that the future cloud can realize autonomous driving like a car, thereby significantly improving developers’ experience on the cloud

According to reports, more than 30 cloud products on Alibaba Cloud already have large-scale model capabilities. For example, Alibaba Cloud's big data governance platform DataWorks recently launched a new interactive method called Copilot. Users only need to input in natural language to automatically generate SQL and automatically perform corresponding data ETL operations. In this way, the overall development and analysis efficiency can be improved by more than 30%, which can be said to be comparable to "autonomous driving"

Alibaba Cloud's containers, databases and other products also provide a similar development experience, and can implement functions such as NL2SQL and SQL annotation generation, error correction and optimization. These functions will also be integrated into other Alibaba Cloud products in the future

Better large models to accelerate application innovation

At the 2023 Yunqi Conference, Zhou Jingren announced the latest progress of Alibaba’s self-developed large model and released Tongyi Qianwen 2.0 with a scale of hundreds of billions of parameters. Tongyi Qianwen 2.0 comprehensively surpassed GPT-3.5 and Llama2 in 10 authoritative evaluations, accelerating to catch up with GPT-4.

Thousands of industries want to use large models to achieve changes in production and service methods, but the high threshold for using large models has blocked most people from the technological wave. Whether it is customizing an exclusive large model or building innovative applications based on large models, there are high requirements for talent, technology, and funding.

At the Yunqi Conference, Zhou Jingren released a one-stop large model application development platform - Alibaba Cloud Bailian. The platform integrates domestic and foreign mainstream high-quality large models and provides model selection, fine-tuning training, security suites, and model deployment. Services and full-link application development tools simplify complex tasks such as underlying computing power deployment, model pre-training, and tool development for users. Developers can develop a large model application in 5 minutes, and "refine" an enterprise-specific model in a few hours. Developers can focus more on application innovation.

In order to make it easier for large models to be integrated and implemented in thousands of industries, Alibaba Cloud "prototyped" 8 industry large models based on Tongyi, and announced the progress on site: personalized character creation platform Tongyi Stardust, intelligent investment research assistant Tongyi Dianjin, AI reading assistant Tongyi Zhiwen, etc. made their debut; intelligent coding assistant Tongyi Lingma has been widely adopted within Alibaba Cloud and has been widely praised; work and study AI assistant Tongyi Tingwu processes more than 50,000 sounds every day Video, with more than 1 million cumulative users.

Currently, many companies have begun to develop exclusive models and applications on Alibaba Cloud Bailian, including CCTV.com, Langxin Technology and AsiaInfo Technology. Langxin Technology has trained a large electric power-specific model on the cloud, and developed an application called "Electricity Bill Interpretation Intelligent Assistant" and an application called "Power Industry Policy Analysis/Data Analysis Assistant" . The use of these applications can improve customer reception efficiency by 50% and reduce complaint rates by 70%. This new round of innovation is attracting attention and participation from thousands of industries

Through a firm open policy, we work together to promote ecological prosperity

Alibaba Cloud’s primary goal is to promote the prosperity of China’s artificial intelligence ecosystem. Alibaba Cloud is committed to building the most open large-scale model platform, and welcomes all large-scale models to connect to Alibaba Cloud Bailian to provide artificial intelligence services with developers. Zhou Jingren said

Alibaba Cloud is the first technology company in China to start open source and self-developed large-scale models, leading the trend of open source large-scale models in China. At present, Alibaba Cloud has open sourced Tongyi Qianwen 7B and 14B versions, and the number of downloads has exceeded one million. At the event, Zhou Jingren announced that the Tongyi Qianwen 72B model will be open source, which will become the largest open source model in China

Alibaba Cloud not only shares self-developed new technologies with developers, but also actively supports the development of third-party large models. On the Alibaba Cloud Magic Community, top companies in the industry such as Baichuan Intelligence, Zhipu AI, Shanghai Artificial Intelligence Laboratory, IDEA Research Institute and other top companies have released their core large models as open source. Alibaba Cloud provides developers with free GPU computing power so that they can try out these large models. Up to now, more than 30 million hours of GPU computing power have been provided

Zhou Jingren revealed that the Moda community has now gathered more than 2,300 AI models, attracting 2.8 million AI developers, and the number of AI model downloads has exceeded 100 million, making it the largest AI community in China with the most active developers.

At the 2023 Yunqi Conference, Alibaba Cloud announced an important plan: the "Yun Gong Kaiwu Plan", which aims to provide each of China's college students with a cloud server. In addition, Alibaba Cloud will also provide larger-scale computing resource support to the universities it contracts with to help China's young scholars and students reach the peak of scientific research. At present, Tsinghua University, Peking University, Zhejiang University, Shanghai Jiao Tong University, University of Science and Technology of China, South China University of Technology and other universities have become the first batch of partners of the plan

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