Iguazio and NetApp Join Hands To Accelerate Deployment of AI Applications

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  • Iguazio said that its data science platform provides end-to-end machine learning pipeline automation along with performance and scale
  • Iguazio’s integration with NetApp ONTAP AI will leverage enterprise-grade data management, data versioning, and NetApp Cloud Volumes

Iguazio, the data science platform for real-time machine learning applications has entered into a strategic partnership with NetApp. They will work to provide enterprises with a simple, end-to-end solution for developing, deploying, and managing AI applications at scale and in real-time on top of the ONTAP AI framework.

Iguazio said that its data science platform provides end-to-end machine learning pipeline automation along with performance and scale. It enables real-time machine learning (ML) applications. It claimed to simplify MLOps and enable enterprises to deploy their AI projects quickly and seamlessly.

Fully compatible with KubeFlow 1.0

The companies said that Iguazio’s integration with NetApp ONTAP AI will leverage enterprise-grade data management, data versioning and NetApp Cloud Volumes for a seamless hybrid cloud experience. It will be fully compatible with KubeFlow 1.0 and offer a managed KubeFlow solution for enterprises.

Santosh Rao, head of AI/ML/DL Platform at NetApp said, “Iguazio’s solution enables our customers to benefit from an end-to-end data science platform that supports real-time ML applications at peak performance. NetApp is committed to simplifying MLOps for enterprises, allowing data scientists to run AI at scale with a simple, one-click deployment methodology.”

Automates pipelines across machine learning, deep learning and data analytics

The platform integrates with NVIDIA DGX and allows customers to utilize GPU-as-a-Service and NGC containers. They said that it makes more efficient use of computational resources, saving costs, and reducing infrastructure complexities. This solution automates pipelines across machine learning, deep learning and data analytics. This results in a scalable way of processing data and computation.

Asaf Somekh, co-founder and CEO of Iguazio, added, “We are delighted to partner with NetApp, and to be working together on some of the most exciting and cutting edge AI projects. We’re looking forward to bringing our joint solution to enterprises that are currently struggling to bring their data science to life.”

Production-ready environment

Many data science projects fail to create business value, despite the big promise of AI for business applications. As per Gartner, 85 per cent of data science projects fall short of expectations. One of the reasons is that model creation is just the first step, while moving working models into a production environment brings out a whole set of complexities. These include handling data at scale, working in hybrid environments, and harnessing real-time data for predictive applications. Businesses can overcome these challenges by working in a production-ready environment that comes with a simplified infrastructure that will enable them to focus on creating business value.

Juan Orandini, chief architect at Insight, Cloud + Data Center Transformation said, “Platform modernization is foundational to business transformation. The end-to-end fusion of compute, storage, networking, and software platforms required for AI workloads dictates the need to assess best-fit platforms. Iguazio’s integration with NetApp ONTAP AI, coupled with Insight’s platform transformation services, simplifies time to production and overall business value.”

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