Iguazio, the data science platform for real-time machine learning applications, announced a strategic partnership with NetApp that provides 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.

Despite the great promise of AI for business applications, many data science projects fail to create business value. In fact, according to Gartner, 85 percent 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 introduces a whole set of complexities, such as 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, with a simplified infrastructure that enables them to focus on creating business value.

Iguazio’s data science platform provides end-to-end machine learning pipeline automation, coupled with performance & scale, enabling real-time machine learning (ML) applications. It introduces a fresh approach to simplifying MLOps and enabling enterprises to deploy their AI projects quickly and seamlessly.

Iguazio’s integration with NetApp ONTAP AI leverages enterprise grade data management, data versioning and NetApp Cloud Volumes for a seamless hybrid cloud experience. It is also fully compatible with KubeFlow 1.0, offering a managed KubeFlow solution for enterprises.

The platform tightly integrates with NVIDIA DGX, allowing customers to utilize GPU-as-a-Service and NGC containers, making more efficient use of computational resources, saving costs and reducing infrastructure complexities.

The solution automates pipelines across machine learning, deep learning and data analytics. The end result is a scalable way of processing data and computation.

“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,” said Santosh Rao, Head of AI/ML/DL Platform at NetApp. “NetApp is committed to simplifying MLOps for enterprises, allowing data scientists to run AI at scale with a simple, one-click deployment methodology.”

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.”

Insight Enterprises, a Fortune 500-ranked global provider of Digital Innovation, Cloud + Data Center Transformation, Connected Workforce, and Supply Chain Optimization solutions and services, has partnered with NetApp and Iguazio to provide their joint solution to their customers worldwide.

“Platform modernization is foundational to business transformation,” said Juan Orandini, Chief Architect at Insight, Cloud + Data Center 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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NetApp, the data authority for the hybrid cloud, today introduced NetApp® ONTAP® AI proven architecture, powered by NVIDIA DGX supercomputers and NetApp AFF A800 cloud-connected all-flash storage to simplify, accelerate, and scale the data pipeline across edge, core and cloud for deep learning deployments and to help customers achieve real business impact with AI.

“Companies of all sizes and across various industries are making significant inroads in using AI to solve real-life problems, especially in the enterprise. However, while very exciting, AI models and workloads are not easy to deploy, and many organizations are struggling,” said Ritu Jyoti, program vice president, IDC. “The NetApp ONTAP AI proven architecture is a powerful solution that will help users accelerate AI-driven business outcomes and overcome deployment obstacles.”

“Developing disruptive AI technology and turning this into breakthrough products and services for our customers is a vital requirement across many markets we work in,” said Monty Barlow, head of artificial intelligence, Cambridge Consultants. “NetApp ONTAP AI powered by NVIDIA DGX supercomputers and NetApp all-flash storage is simplifying and accelerating the data pipeline for deep learning.”

“Organizations everywhere are making significant investments in AI, but they often lack the infrastructure required to optimize their data for AI projects and scale their applications and workflows to create the business impact they expect,” said Octavian Tanase, senior vice president, ONTAP, NetApp. “NetApp’s cloud-connected data solutions and new proven architecture with NVIDIA DGX create a single data environment for AI. This gives customers the control, access, and performance they need to provide the right data at the right time at the right location to their AI applications – all at scale and all integrated, managed, and protected by the NetApp Data Fabric.”

By leveraging the NetApp Data Fabric, ONTAP AI enables enterprises to create a seamless data pipeline that spans from the edge to the core to the cloud. This pipeline integrates diverse, dynamic, and distributed data sources, with complete control and protection. With massive processing power and capacity, ONTAP AI removes performance bottlenecks and enables secure, nondisruptive access to data from multiple sources and data formats.

“The combination of NVIDIA DGX and NetApp all-flash arrays meets the infrastructure challenges of today’s AI deployments,” said Jim McHugh, vice president and general manager of Deep Learning Systems at NVIDIA. “NVIDIA’s leadership in AI and GPU computing, combined with NetApp’s innovation in all-flash storage systems, gives customers a faster way to deploy AI with proven performance and a simplified operations model.”

ONTAP AI is a joint NetApp and NVIDIA proven architecture offering that combines the world’s most powerful GPU solutions with the world’s fastest and most cloud-connected flash systems and software.

Features and benefits include:

• Deploy easily. Get started faster with AI by eliminating design complexity and guesswork.
• Scale without limits. Organizations that are starting out with deep learning can begin with a 1:1 configuration and scale out as their data grows, to a 1:5 configuration and beyond.
• Operate with confidence. High-availability solution design with redundant storage and network and server connections.

An Ecosystem of Solution Partners

ONTAP AI is available through channel partners, including:

“As long as we have partnered with NetApp, their products have been able to adapt to address the challenges around data that come with major technological advances. AI is a key component to building modern applications that are engaging, real time, and distributed. NetApp ONTAP AI and Data Fabric make it easier to leverage data wherever it is, to build and deploy powerful AI-powered applications,” said Mark Kelly, chief strategy officer at ePlus. “ONTAP AI simplifies ongoing operations and accelerates time to results. With our AI expertise and track record in converged infrastructure, we can help customers focus less on infrastructure and more on driving outcomes from their deep learning environments.”

“Customers want an AI solution that allows them to start small and grow. ONTAP AI provides a proven architecture to help them achieve that goal,” said Manohar Vellala, practice manager, Data and Analytics at Groupware Technology. “Our customers can now deploy a powerful, highly available deep learning configuration validated by NetApp and NVIDIA with the headroom to grow with their needs.”

“IAS is excited to be a launch partner for the ONTAP AI proven architecture,” said Amy Rao, CEO of IAS. “Moving large datasets from edge to core or core to cloud is becoming impractical, and customers are looking for ways to maximize data value independent of location. The Data Fabric—combined with NetApp cloud-connected all-flash technology and NVIDIA GPU-assisted compute and all packaged in a prevalidated configuration—gives customers the choice, control, efficiency, and availability required for deep learning environments.”

“Customers deploying AI and deep learning are looking for ways to reduce their time to outcomes. A highly available and powerful deep learning environment ensures that data scientists stay productive,” said Bob Olwig, vice president of Corporate Business Development, WWT. “ONTAP AI is a proven architecture from NetApp and NVIDIA that complements WWT’s broad portfolio of solutions and services for deep learning, giving customers an AI stack that can be implemented quickly with higher efficiency and lower risk.”

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