-

Iguazio Partners with Pure Storage to Operationalize AI for Enterprises Taking a Production-First Approach

Through integrations with Pure Storage and the Iguazio MLOps platform, enterprises can deploy and scale AI across multi-cloud and hybrid use cases

NEW YORK--(BUSINESS WIRE)--Iguazio, the MLOps (machine learning operations) company, today announced that it has become a Pure Storage technology partner. The new partnership will empower enterprises to unlock the value of their data and bring data science projects to life in an efficient, automated and repeatable way.

Together, Iguazio and Pure Storage empower enterprises to continuously roll out new AI services by adopting a production-first mindset using technologies which later allow them to scale with AI. By providing enterprise grade capabilities around data management, scale and performance and a layer of abstraction and automation, enterprises can start to focus on their business applications and not the underlying infrastructure.

“Many of our customers are seeing the enormous potential for AI-driven innovation, so we strive to provide our customers with the tools and infrastructure they need for the next step of AI” said Grace Chung, Director, Strategic Alliances, Analytics at Pure Storage. “We’re excited to help Pure and Iguazio’s join customers unlock the value of their data with an agile MLOps solution where compute and storage scales along with the needs of the business”.

“Most organizations starting out with AI initially focus on research and model development, because that is often seen as the natural first step to the data science process”. Commented Asaf, Co-Founder and CEO of Iguazio. “However, in order to effectively industrialize AI, enterprises need to think about the components they will need once they are running their AI applications in production at scale - as early on as possible. Together, Pure and Iguazio provide a complete MLOps solution with enterprise grade data management capabilities, providing the necessary building blocks to efficiently and cost-effectively support diverse and growing AI use cases which fuel business growth”.

With the new partnership, Iguazio offers an MLOps platform that automates and accelerates machine learning (ML) and deep learning (DL) pipelines. Its serverless and managed services approach shifts the focus from managing a sprawl of Kubernetes resources to delivering a set of higher-level MLOps services, over elastic resources, therefore reducing significant capital and operational costs, and accelerating time to market. Pure provides enterprise grade data management capabilities and products that are optimal for the challenges of data science, built for speed and simplicity at scale.

For deep learning use cases, requiring analysis of images or video at scale, unstructured data can be organized in files or objects (on Pure FlashBlade) and accessed directly by the applications. For machine learning use cases, Iguazio’s real-time feature store, which is built into the MLOps platform, can access structured data on high-performance, low-latency NVMe storage using Pure FlashArray. The Pure Portworx Kubernetes-native storage solution supports the persistence needs of stateful micro-services. This solution is available across all major cloud providers, on-premises or in hybrid environments.

Both Pure and Iguazio have an extensive network of high-profile strategic partners, including AWS, Microsoft, Google, NVIDIA, Intel and MongoDB.

For more details on the partnership visit the Pure Storage website

For a deeper dive into the solution read the technical blog

About Iguazio

The Iguazio MLOps Platform enables enterprises to deploy and manage AI applications at scale. With Iguazio, enterprises can run AI models in real time, deploy them anywhere (multi-cloud, on-prem or edge), and bring to life their most ambitious AI-driven strategies. Enterprises spanning a wide range of verticals, including financial services, healthcare, manufacturing, entertainment, smart mobility and telecoms use Iguazio to automate MLOps and create business impact through a multitude of real-time use cases such as fraud prediction, predictive maintenance and real-time recommendations. Iguazio brings data science to life. Find out more on www.iguazio.com

Contacts

Iguazio Press Contact:
Sahar Dolev-Blitental
press@iguazio.com

Iguazio


Release Versions

Contacts

Iguazio Press Contact:
Sahar Dolev-Blitental
press@iguazio.com

Social Media Profiles
More News From Iguazio

Sense Selects Iguazio for AI Chatbot Automation with AWS, Snowflake and NVIDIA

SAN FRANCISCO--(BUSINESS WIRE)--Iguazio, the MLOps platform provider, and Sense, a market leader in artificial intelligence (AI) driven talent engagement for recruiting, today announced that the Iguazio MLOps platform has been selected to power a wide range of AI products aimed at increasing the efficiency and scalability of Sense’s AI operations. Sense is leveraging automation and AI to speed up the recruitment process, while delivering a hyper-personalized candidate experience. Sense is a lea...

Iguazio Partners with Snowflake to Automate and Accelerate MLOps

LAS VEGAS--(BUSINESS WIRE)--Iguazio, the MLOps platform provider, today announced a new partnership with Snowflake, the Data Cloud company, which includes connectivity of Iguazio’s solution for automating ML pipelines and built-in feature store with Snowflake’s Data Cloud. The solution is already being implemented by numerous customers, including Fortune 500 companies, to abstract away the complexities of MLOps and create a joint, production-ready environment for data scientists to continuously...

LATAM Airlines Group Selects Iguazio to Operationalize Machine Learning as Part of Its Post-Pandemic Innovation Strategy

NEW YORK--(BUSINESS WIRE)--Iguazio, the MLOps (machine learning operations) platform provider, today announced that LATAM - the leading airline group in Latin America - has selected its MLOps platform for a large scale, cross-company AI innovation project. The project will span the entire organization and will include use cases such as optimizing and safeguarding the company’s popular frequent flyer program from fraud, improving pilot training through better understanding of the factors that cr...
Back to Newsroom
  1. There was an issue with the authorization server. Please contact support if the issue persists.