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2025-04-10 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >
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Shulou(Shulou.com)11/24 Report--
Recently, Gartner, an authoritative international research institution, officially released the 2023 Storage and data Protection Technology maturity Curve report (Hype Cycle for Storage and Data Protection Technologies, 2023, hereinafter referred to as "the report"). Based on the forward-looking insight into market applications and years of technology intensive cultivation, Tide Information has been re-selected as a document storage benchmarking manufacturer (Sample Vendors).
Gartner Announces 2023 Storage Technology maturity Curve
To help users track the maturity and future potential of data storage technology, Gartner publishes a technology maturity curve (Hype Cycle) analysis report on technology, applications and industry trends every year. In the report, Gartner makes an in-depth interpretation of more than 20 popular data storage technologies, such as NVMe-oF, software-defined storage, object storage, distributed file storage, container native storage, and so on, through priority matrix and market hype. At the same time, the public benchmark vendor list (Sample Vendor) is used to recommend representatives of manufacturers with mature products and unique value in this field. The report has extensive influence around the world.
What is the storage solution that adapts to the efficient processing of cloud mathematical intelligence key applications?
With the deep integration of cloud computing, big data, artificial intelligence technology and real economy, digital economy has become a new engine of social and economic development, and its prosperity and development will inevitably lead to explosive growth of data. It is predicted that by 2025, the amount of data in China will grow to 48.6 ZB, 80% unstructured data, making it the largest data circle in the world, which brings great benefits to distributed storage, which is good at storing and dealing with unstructured data storage and applications.
The report points out that with the explosive growth of unstructured data and the increase of file-based workloads, bringing distributed scale-out storage architecture to the forefront of IT infrastructure planning, building a scalable and low-cost distributed storage platform for unstructured file data is a top priority for users. Gartner believes that there are four big opportunities for distributed file storage. First, in the face of the exponential growth of unstructured data, users are increasingly using distributed scale-out file system products to replace vertically extended NAS device systems, in order to obtain the benefits of linear expansion of capacity and performance. Second, enterprises are preparing for the exponential growth of unstructured data and seeking better data insight and integration with cloud storage to achieve long-term data lifecycle management. Third, big data analysis, artificial intelligence (AI) and machine learning (ML) applications have become typical use cases of distributed storage. Fourth, data modeling and digital twins will continue to drive the rapid growth of distributed file storage.
For example, in today's large model, facing the training and reasoning of generative AI model, the storage system needs to deal with the challenges brought by large data scale, diversified data types, different file sizes, frequent reading and writing, and so on. The demand for 100GB-level bandwidth and 1 million-level IOPS of the storage system has become normal. Enterprises need to build high-performance concurrent file storage capacity, so as to improve the model performance, generalization ability, application effect.
For another example, in real-world 3D applications, the production business includes many processes such as original picture upload, spatial processing, modeling, slicing and so on. The amount of data of real-time online processing is extremely large, and the upload and data modeling of original pictures require a large number of client concurrent operations, and a single client often requires more than 20MB/s bandwidth, which puts forward high requirements for the immediacy of high concurrent data processing.
Finally, the virtualization / cloud market is growing rapidly in recent years, and more and more core key applications are on the cloud. Higher IOPS and lower latency are needed in the data access process to ensure that key businesses run without stutter. Cloud platform business is growing rapidly, which requires distributed scale-out file system to provide flexible space, which makes system expansion more convenient.
High-performance distributed file storage supports the use of multiple IO paths to read / write data to multiple storage devices, while scalable to accommodate PB-level data, and supports high-bandwidth, natural adaptation to the storage requirements of cloud digital intelligence key applications.
Tide information high-performance parallel file system, created for cloud math key applications
Thanks to forward-looking layout and technological innovation, Tide Information, as one of the earliest domestic manufacturers to lay out high-performance parallel file storage, adheres to the product concept of "storage as a platform" and accurately identifies customer pain points to create a data storage platform AS15000G7 for cloud-based key applications, which can meet users' more extreme needs for data storage performance, management, fusion and efficiency in oil exploration, autopilot, weather forecasting and other scenarios.
Extreme performance is the core cornerstone of accelerating the efficient processing of cloud mathematical intelligence key applications. AS15000G7 high-throughput parallel file storage system shortens I / O paths based on GDS and RDMA technology; significantly improves data access and retrieval speed through intelligent metadata management; with the help of unique intelligent network optimization technology, the delay can be shortened by more than 50%, and the transmission delay at small file level is reduced to millisecond level.
Extreme fusion is an effective path for Heiner's multivariate and heterogeneous huge data. AS15000G7 creates the industry's first all-in-one extreme fusion architecture, which provides parallel access to files, objects, big data and video storage, real-time multi-protocol mutual access and system flat expansion, and maintains semantic consistency and lossless performance in the data access process, thus achieving efficient sharing.
Extreme management is an important guarantee for the transparency and controllability of the whole life cycle of data. AS15000G7 can be equipped with AIStation scheduling and InView data management platform at the same time to monitor and manage high-performance servers, networks and storage devices to achieve transparent and controllable data flow. The accuracy of HDD / SSD life and fault prediction is higher than 95% within 14 days.
Extreme efficiency is a powerful weapon to improve the return on investment ratio of users'IT equipment. Based on automated data layering and migration, on the premise of ensuring the security and transparency of applications, AS15000G7 significantly improves the return on investment ratio of users through the flexible configuration of flash memory, disk, tape and optical disc performance type, balanced type, capacity type and high-density capacity type.
At present, the high-performance parallel file storage of Tidal Information has won the bid for many times, and the product maturity has been fully verified. At the same time, it also provides support and guarantee for major customers in the six major banks, TOP3 Insurance Company, National Meteorology, National Industrial Internet Center, PetroChina, Tsinghua University, Fudan University, TOP10 Hospital and other industries. In the future, Chaochao Information Storage will continue to adhere to the product concept of "storage as a platform" and deeply cultivate data storage product solutions to help customers build a secure, reliable, economical and efficient data infrastructure and fully release the value of data.
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