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Huawei and iFLYTEK launch AI Survival Base Joint Innovation Project

Shulou Source: shulou.com Published: 2023-11-24 18:19:36 11月13日 Update

Thanks to CTOnews.com netizens for the delivery of the trumpet of a salted fish! CTOnews.com, July 26, according to the Shanghai Securities News, Huawei disclosed today that it and iFLYTEK have officially launched a joint innovation project on the AI storage base to create the best data storage solution for AI large model scenarios.

According to ▲ map source Pexels Huawei, the two sides will rely on joint innovation to seek breakthroughs in the technical direction of data storage service reliability, computing and storage collaborative system research, and data lifecycle management. Through the innovation practice of AI Survival in the era of AI model, we can provide high-value reference experience for the industry.

CTOnews.com learned from the official that at present, the development of the AI industry has two significant trends. First of all, AI changes from large model to super-large model, which brings the rapid growth of model parameters and the scale of training data set; secondly, AI changes from single-mode to multi-mode, which puts forward higher requirements for efficient processing of massive unstructured data.

In order to improve the efficiency of the whole AI process of data acquisition, data preprocessing, model training and evaluation, and reasoning applications, and to eliminate the massive data relocation caused by data islands, a high-performance, stable and reliable unified storage base has become the cornerstone of AI large model scenarios. To this end, iFLYTEK and Huawei officially launched the joint innovation project of AI Survival Base.

The two sides said that in the future, iFLYTEK and Huawei Storage will join hands to seek breakthroughs in the three major directions of large cluster reliability, high-performance storage coordination system, and accurate data identification and governance.

Tags: Data model Huawei base iFLYTEK joint storage project system both sides reliability scene direction mode mass message high performance breakthrough training precision Apple Docker Huawei Linux macOS MariaDB Microsoft MySQL NVidia OPPO Reno Shulou Tech Info Xiaomi Linux vpn Redmi