Pure Storage will use GITEX Global 2024 to highlight innovations in the Pure Storage platform which enable organisations to address their broad set of data challenges. Pure Storage will present how unified data storage can be the engine that powers regional organisations’ business transformation strategies.
These include supporting current and future AI needs, managing exponential data growth, mitigating against data loss incidents and cyber threats and meeting sustainability goals.
Alongside integrating Pure Fusion, the company’s storage fleet management solution, into the Purity operating system, it will highlight the first AI copilot for storage. This enables IT teams to leverage aggregated insights from tens of thousands of arrays deployed in the field and direct knowledge of the organisations’ infrastructure to simplify the complexities of storage management.
With the addition of several advanced SLAs, including guaranteed storage performance for GPUs to support training, inference, and HPC workloads and a Cyber Recovery and Resilience SLA to account for disaster recovery scenarios, Evergreen One is an outcome-oriented STaaS offering in the market. With the industry’s record number of concurrent SLAs, customers get the reliability, performance, and sustainability their business requires.
Pure Storage plans to launch 150TB DirectFlash Modules, later this year, enabling organisations to future proof their infrastructure investment and manage the largest data sets. In addition, the industry’s largest flash drive will support AI at scale and help organisations tackle some of the biggest AI challenges.
As enterprises further embrace AI to drive innovation, streamline operations, and gain a competitive edge, traditional storage infrastructure fails to meet the performance, scalability and energy-efficiency requirements needed.
According to a recent survey that Pure Storage conducted, 98% of CIOs and IT decision makers state that their IT infrastructure requires urgent improvements to create the necessary conditions for AI success.
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