Steve McDowell is principal analyst and founding partner at NAND Research. Steve is a technologist with over 25 years of deep industry experience in a variety of strategy, engineering, and strategic marketing roles, all with the unifying theme of delivering innovative technologies into the enterprise infrastructure market.
. IBM’s cutting-edge cloud-scale global software-defined data platform addresses the escalating demands of data-intensive workloads and artificial intelligence applications.Part of the IBM Storage for Data and AI portfolio, the new Storage Scale System 6000 offers high-performance parallel file systems with up to 7 million IOPs and up to 256GB/s throughput. It is optimized for storing semi-structured and unstructured data, such as video, imagery, text, and more, in hybrid environments.
This system connects data with an open ecosystem of multi-vendor storage options, including AWS, Azure, IBM Cloud, and other public clouds, and it provides faster access to data with over 2.5 times the throughput and two times the IOPs performance of market-leading competitors.The Storage Scale System 6000 offers a high-performance parallel file system that can handle data-intensive AI workloads. It provides up to 7 million IOPs and up to 256GB/s throughput for read-only workloads.
The IBM Storage Scale System 6000 provides the high-performance, scalability, and data management capabilities required for AI workloads. It offers fast data access, efficient storage, data security, and integration with AI frameworks and NVIDIA solutions, making it a valuable asset for organizations looking to accelerate their AI initiatives.
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