Shulou(Shulou.com)11/24 Report--

At present, China's large model industry is booming, from construction to use, is becoming an important starting point for the government and enterprises to promote the upgrading of the digital industry. At the same time, with more massive data, more complex scenarios and higher costs, the threshold for large model industry entrants is getting higher and higher, and the industry urgently needs a "out-of-the-box" 0-1 development solution.

In order to promote the development of China's large model industry, China Science and Technology Control and Jettong Huasheng jointly released the large model training and push all-in-one machine. The system is both hard and soft, and has three core advantages of "high performance, high security and more convenience", which can provide strong help for the research and development of related industries.

First of all, the all-in-one machine can provide sufficient performance guarantee for large model computing. Zhongke controllable server as the underlying computing support, using heterogeneous decoupling design architecture, equipped with domestic CPU processor and GPU heterogeneous accelerator card, strong performance! The architecture can be adjusted as needed, providing performance acceleration for different algorithm engines, returning first words in seconds for mainstream large model pre-training engines, generating 100-word content in one second, and supporting multiple concurrency on a single card, and a single 8-card server can meet the needs of enterprise AI large model deployment applications.

Secondly, on the basis of high performance, it provides a safe and reliable development environment. The all-in-one machine is equipped with national-made core devices, from CPU and GPU to storage and network equipment, fully supports Xinchuang, and supports a variety of advanced security schemes such as national secret algorithm and trusted computing, fully providing users with high-quality security guarantee in the process of data processing. The new system can also support enterprise privatization deployment, ensure that the data is not separated from the enterprise intranet, and achieve the security of data physical isolation.

Third, have a more convenient development experience. The new all-in-one machine not only presets a variety of mainstream pre-trained AI large model engines, but also deploys knowledge base question and answer, knowledge graph, sensitive vocabulary detection, OCR identification, AI map and other components according to user needs, but also comes with dialogue, creation, analysis and other omni-directional large model applications, users do not need to develop, immediately improve ease of use. In the process of use, the all-in-one machine can provide data mining and fine-tuning training platform, training and pushing as a whole, making the model optimization more convenient. At the same time, the new system also encapsulates the functional applications with API, which makes the secondary development and system integration easier. The deployment mode supports package delivery and can be used out of the box.

Based on the three core advantages, quantitative knowledge model training and pushing all-in-one machine has been widely used in key fields such as intelligent government affairs, finance, enterprise office and so on. In practical application, the large-scale model supports automatic completion of data tagging and question-answering knowledge base construction, provides more accurate, high-quality, natural and diverse speech skills in the process of intelligent customer service, provides deeper data analysis, and predicts customer intentions. generate hot spots and public opinion research and judgment conclusions. In addition, the intelligent document analysis, conference transcription, compliance analysis, AI biographies and other functional applications provided by the Qizhida model are helping more institutional and enterprise members to improve their work efficiency and widely serve the digital upgrading and transformation of thousands of banks and industries.

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