Press Coverage: CRN Reports on Iguazio and Netapp Joint Tech
NetApp’s flash storage, cloud and AI capabilities coupled with Iguazio’s Data Science Platform make machine learning applications more efficient.
Tredence & Iguazio present "Automated Model Management for CPG Trade Effectiveness" May 4th 10am PDT
Modern AI and ML workloads require the utmost flexibility and speed. They also need data—the more, the better. For the best results, you need a solution that can unify your data pipeline across edge, core, and cloud.
The Iguazio Data Science Platform, combined with NetApp® ONTAP® AI or FlexPod AI, delivers the performance and scalability to support your most extreme workloads. Iguazio offers native integration with NetApp ONTAP solutions to enable building highly available end-to-end ML pipelines that can process and react to massive amounts of data.
The solution enables the full data analytics and AI and ML lifecycle on one ready-to-use platform. Users can ingest data from a variety of sources, explore and prepare data at scale, run distributed training, and automatically deploy models or complex applications to production. Data scientists, data engineers, DevOps, and app developers can collaborate efficiently on one secure self-service platform.
“Joint customers of NetApp and Iguazio manage data at scale and run increasingly complex algorithms on that data. By making critical features available within their data science platform, adding ‘smart data’ with NetApp AI is simple. With easy access to features that are ready for use across the enterprise on any AI project, customers can develop and deploy these projects efficiently and accurately.”
Head of Global AI and Analytics Business Development, NetApp