[Shanghai, China, September 19, 2024] At HUAWEI CONNECT 2024, Huawei released a series of white papers titled Striding Towards the Intelligent World 2024. Each of the nine white papers covers a different industry, and one focuses on the future of data storage. Striding Towards the Intelligent World 2024 White Paper—Data Storage delves into today's hot topics of digital and intelligent transformation, and the concept of data as a fifth factor of production, alongside traditional factors such as land and labor. It also shares viewpoints about data storage trends and challenges, and offers suggestions for future action, helping organizations build the optimal data infrastructure for the large AI model era.
Huawei releasing Striding Towards the Intelligent World White Paper 2024—Data Storage
Driven by booming digital economy, a range of industries, including finance, electric power, manufacturing, education, healthcare, and carriers, are shifting gears from digitalization to digital and intelligent transformation at an unprecedented speed. Data is a key factor in such transformations. As a result, a massive amount of historical data is being awakened, a tidal wave of new data is being generated for and by AI, and diverse raw data needs to be retained for a long time. Moreover, data processing efficiency is critical for fully unleashing AI productivity.
In the Data Storage white paper, Huawei shares their five viewpoints about data storage evolution.
1. AI-ready data infrastructure with a decoupled storage-compute architecture accelerates AI development. In the large AI model era, collaborative evolution and on-demand expansion of computing and storage power have become the basic requirements for deploying data infrastructure. Enhanced core capabilities, such as horizontal capacity expansion, linear performance growth, and multi-protocol interworking, can effectively help industries get AI-ready.
2. All-flash storage boosts data processing efficiency and unlocks data value.Large model training and digital and intelligent transformation cause data processing challenges. All-flash storage features high performance, high capacity, and low power consumption. It works with emerging data paradigms such as vector retrieval-augmented generation (RAG) and long-term memory storage to greatly improve overall system performance and enhance computing with storage.
3. A data resilience system that provides both defense and response mechanisms is a must. Intrinsic resilience has become a basic requirement for storage systems. By building all-flash backup storage and multi-layer ransomware protection, organizations can transition from reactive responses to attacks to proactive and comprehensive protection, building a strong immune system for their data.
4. An AI data lake foundation makes data visible, manageable, and available. Data has become a key competitiveness of enterprise AI applications. Data fabric eliminates data silos and enables sufficient storage, free mobility, and full utilization of massive volumes of heterogeneous data from multiple sources.
5. Full-stack, pre-integrated training/inference appliances facilitate the deployment of large AI models in various industry scenarios. This type of training/inference appliance comes with pre-installed infrastructure and tools and leverages large-AI-model vendors' system integration capabilities to enable one-stop delivery, helping accelerate digital and intelligent transformation in a vast range of industries.
This white paper also provides detailed suggestions for future action, helping organizations build data infrastructure tailored for digital and intelligent transformation. Huawei Data Storage will continue to work closely with customers and partners in the public and private sectors to provide future-proof storage power for new technologies and applications and create a bright future for digital and intelligent transformation.
For more information about the white paper, please visit: https://e.huawei.com/en/material/enterprise/6640341e8b5f4b60ab2e58fbba70c0a2.
