Businesses in the past year may have truly entered the era of complete data accessibility. With the influx of artificial intelligence trends becoming clear since 2023, many organizations need to adapt to this era quickly. Data preparation for comprehensive analysis or preparing data for artificial intelligence within an organization is a crucial step towards advancing IT systems in the future.
However, many organizations may face challenges in preparing this data due to limitations of various systems storing diverse data formats. Applications that are the source of data require different storage formats, and the sheer volume of incoming data can overwhelm storage systems, becoming a bottleneck for data utilization. Even though current systems may be functional, these systems tend to be distributed throughout the organization without a centralized data management system in place.
IBM Storage Scale is a solution that effectively addresses these challenges comprehensively. By offering software solutions that can run on IBM’s own servers, existing organization servers, or cloud servers used by the organization, IBM Storage Scale allows organizations to consolidate all data management systems into a single system that supports all applications and protocols needed by modern applications. This includes using storage on containers in modern applications, connecting file systems through long-established protocols like NFS or SMB, utilizing storage through increasingly popular S3 APIs, and even using storage specifically for analytics or data lakes with HDFS for seamless integration with Hadoop.
Centralized data management systems like this enable organizations to have a holistic view of their data usage, manage security policies systematically, encrypt data access to prevent leaks, and even turn certain storage into read-only data that cannot be altered. Policy management can also backup data to various cloud providers through Transparent Cloud Tiering feature, offering a diverse selection of cloud storage services.
IBM Storage Scale servers support fully parallel processing, allowing for active-active server configurations and enabling scalability without bottlenecks. IBM has tested throughput levels of up to 2.5TB/s and file management capabilities for millions of files, handling data volumes up to yottabytes effortlessly.
Highly efficient storage usage is a key feature for artificial intelligence applications that require quick data ingestion for training. Storage Scale supports a wide range of hardware from high-speed flash storage to cloud storage for data backup, and its storage tiering system ensures sufficient room for future data usage while allowing applications to access data swiftly.
IBM Storage Scale allows users to choose from various deployment options, whether using software alone, with IBM hardware storage, or through leading cloud providers. IBM Storage Scale by G-Able offers a complete solution from applications to storage.
G-Able presents IBM Storage Scale leveraging their extensive experience in Big Data/Data Lake operations, along with partnerships with leading artificial intelligence companies to deliver systems tailored to customer needs. Choosing IBM Storage Scale assures organizations of IT system development that truly supports large-scale data and empowers businesses to excel in the upcoming era. When organizations engage G-Able’s team to implement their storage system, they can be sure to receive top-notch care that will contribute to their success in developing powerful Data Lake or AI capabilities crucial for business competition in the future.
For inquiries about IBM Storage Scale by G-Able, contact us at contactcenter@g-able.com or visit our website at www.g-able.com.
TLDR: IBM Storage Scale by G-Able offers a comprehensive solution for organizations looking to enhance their IT systems to support large-scale data and advance their business capabilities in the era of data-driven insights and artificial intelligence. Contact G-Able for more information.
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