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NetApp today announced the launch of ONTAP 9.5, MAX Data, StorageGRID SG6060, NetApp Solution Support for FlexPod and Flash Speed Guarantee. This further expands the company’s Data Fabric over edge, core and cloud. They also offer organisations the opportunity to exploit the full potential of Artificial Intelligence (AI), according to the company.

According to NetApp, companies plan to use AI to create new and innovative business opportunities driven by diverse, distributed and dynamic data. However, companies often find out that the most valuable data is stuck in silos, is hampered by complexity and involves too much cost.

“At the moment, a Data Fabric that supports the edge, the core and the cloud is essential to achieve success with AI. This is because of the speed and volume of data that is now generated and managed in IoT devices and sensors, in on-premises data centers and in hybrid cloud environments,” said Joel Reich, EVP of Storage Systems & Software at NetApp. “By integrating the new data services and solutions we announced today into NetApp Data Fabric, organizations can accelerate data pipelines across an enterprise to train deep learning models and drive AI solutions with the simplicity, choice and scalability needed to take real steps.


The new ONTAP 9.5 software should help companies modernise their data services with solutions that offer market-leading cloud integration, best all-flash performance, and more efficiency and simplicity. The software supports in the following points:

  • Delivers versatility, resulting in high performance and continuous minimal latency, accelerating critical workloads with end-to-end NVMe technology.
  • Centralizes data management for different storage environments: flash, disk and cloud.
  • Automates archiving of petabytes of data to object stores in the cloud or on-premises.
  • Reduces implementation costs for multi-site business continuity solutions.
  • Accelerates reading performance with cached datasets within a cluster and at external locations.
  • Increases storage efficiency savings of up to 15 percent for relational database applications.
  • Improves performance by automatically tiering data between AFF systems and NetApp MAX Data on servers.

MAX Data allows customers to improve their application performance without having to rewrite the code. The solution uses a permanent memory in servers to provide memory-like minimum latency and flash-like capacity. This allows data for AI applications and real-time data analysis to be processed faster. It also speeds up the data recovery application with data protection services for permanent memory in servers.

Flash Speed Guarantee

Furthermore, NetApp offers a warranty on latency, allowing AI applications to be used with confidence and predictably low latency. The warranty offers a consistently low latency of 500 milliseconds or less.

In addition, the company provides data management and solution support capabilities that enable the use of growing data sources with virtually unlimited scalability and performance. This should enable AI, machine learning and deep learning applications to be fed, trained and controlled.

These are StorageGRID SG6060 and Solution Support for FlexPod. With StorageGRID, flash-accelerated object storage meets the demand for fast processing of simultaneous workloads. Together with ONTAP FabricPool this offers the best data management functions, and can benefit from the profitability of object storage.

Solution Support for FlexPod consists of a support team with expertise in all important components for the entire solution. It also includes NetApp Converged System Advisor (CSA) software, which simplifies FlexPod’s business processes and lifecycle management. With CSA you can see in an overview what the state of the entire system is.

This news article was automatically translated from Dutch to give Techzine.eu a head start. All news articles after September 1, 2019 are written in native English and NOT translated. All our background stories are written in native English as well. For more information read our launch article.