NetApp

Technical Solution Brief: Amazon FSx for NetApp ONTAP

The NetApp-AWS-Iguazio integrated FSx solution offers a one-stop-shop from storage to production, with full end-to-end MLOps capabilities—even at scale and in real-time.

“Iguazio is the first MLOps platform to enable FSx for ONTAP as a part of its end-to-end capabilities for bringing data science to production at scale, in real-time and in hybrid environments.”

NetApp’s flash storage, cloud and AI capabilities coupled with Iguazio’s Data Science Platform make machine learning applications more efficient.

Iguazio’s Data Science Platform now integrates with NetApp ONTAP AI to simplify data science infrastructure for enterprises and reduce time to impact of AI projects.

Find Iguazio featured on the NetApp AI Partner Network page.

Learn how NetApp is using the Iguazio Data Science Platform to analyze 10 trillion data points per month globally for predictive maintenance and storage optimization.

Discover how NetApp and Iguazio simplify the life of your data science teams, allowing you to bring AI projects to market much faster by automating the entire process and deploying data pipelines at scale.

Iguazio’s CTO Yaron Haviv joins NetApp’s Justin Parisis to discuss Iguazio and where we fit into the AI/ML landscape.

NetApp Technical Director Shankar Pasupathy and Iguazio CTO Yaron Haviv return to Tech Ontap to discuss how Iguazio’s Data Science System is used to power NetApp’s Active IQ platform.

“For this year’s GTC, NetApp is joined by several of our leading partners, including Domino Data Lab, Iguazio, and SFL Scientific. We work closely with AI software vendors to validate and integrate the latest solutions for NetApp environments.”

NetApp is partnering with Iguazio to provide a streamlined integration of big data analytics tools into your AI pipeline.

How do you manage persistent storage, backup, disaster recovery, and rapid cloning in that environment? How can you lower and control your costs? Accelerate deployment with an integrated MLOps stack and application-aware data management.

As part of Kubernetes Day, Phoebe Goh, NetApp leads a roundtable of visionaries Sam Ramji, Datastax, Yaron Haviv, Iguazio, and Peter Zaitsev, Percona about solutions and innovations addressing evolving challenges within the Kubernetes space.

In this panel, experts from NetApp, NVIDIA, Strategy Analytics and Iguazio discuss the main use cases, and also examine the challenges and solutions that exist for building AI applications for connected vehicles.

Operationalize Data Science at scale with NetApp and Iguazio with a one-click deployment for all AI, ML, and DL needs.

This document covers the details of the MLRun pipeline, Iguazio’s pipeline orchestration technology, using the NetApp® AI Control Plane,
NetApp Cloud Volumes software, and the Iguazio Data Science Platform.

Learn about the MLRun pipeline using the NetApp AI Control Plane, the Iguazio Data Science Platform, and Kubernetes cluster setup.

Learn to integrate Iguazio and NetApp technologies to enable fast model deployment, data replication, and production monitoring capabilities in the cloud.

The Sr. Director of Active IQ AI and Data Engineering explains how NetApp migrated from Hadoop to a microservices, Kubernetes, serverless environment, and built a solution for predictive maintenance and actionable intelligence that responds in real time to 10 trillion data points collected from storage controllers globally per month.

Yaron Haviv speaks with Netapp’s Senior Technical Director AI & Data Engineering about constructing ML pipelines across federated data and compute environments, and building production-ready AI applications that work in hybrid environments (on-prem, cloud and edge).