Without data, AI would not be able to exist and AI cannot get better without significant developments in how data is stored and used for AI scenarios. Traditional data storage systems simply hold raw data but AI wordloads require systems that can turn raw information into knowledge. Leading the change in what we consider storage to be is Huawei, helping businesses utilize information in a new future of data storage.
The emergence of artificial intelligence has created four key areas that storage needs to adapt to: AI Corpus, AI training, AI inference, and agentic AI. Each of these areas has its own technical challenges that require unique and innovative solutions.
