Iguazio, the MLOps (machine learning operations) company, announced its availability in the AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that makes it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS).
This new availability provides AWS customers with access to Iguazio’s MLOps solution, which automates machine learning (ML) pipelines end-to-end and accelerates deployment of artificial intelligence (AI) to production by 12X.
By way of example, the Hydroinformatics Institute in Singapore (H2i) uses Iguazio on AWS to build and run a real-time ML pipeline that predicts rainfall by analyzing videos of cloud formations and running CCTV-based rainfall measurements.
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“With Iguazio, we are now able to analyze terabytes of video footage in real time, running complex deep learning models in production to predict rainfall,” said Gerard Pijcke, Chief Consultancy Officer, H2i. “Repurposing CCTV-acquired video footage into rainfall intensity can be used to generate spatially distributed rainfall forecasts leading to better management of urban flooding risks in densely populated Singapore.”
AWS customers can now purchase Iguazio through their AWS Marketplace account in just a few clicks, without having to deal with new contracts or legal hassles.
“Iguazio is a great addition to AWS Marketplace, with their unique solution to accelerate AI deployment, even at scale, in real time,” said Mona Chadha, Director of AWS Marketplace Category Management, AWS. “Now, AWS customers can easily gain access to Iguazio in AWS Marketplace, which provides millions of AWS Partners and customers with the latest tools and innovative technologies to transform businesses and organizations.”
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Iguazio integrates with a range of AWS products and services including Amazon SageMaker, so enterprises can quickly add Iguazio to their existing workflow to accelerate deployment of AI, scale, and manage their models in production.
“We believe all enterprises deserve a faster and easier path to rolling out new AI services,” commented Asaf Somekh, Co-Founder and CEO, Iguazio. “Now it is much easier for AWS customers to gain access to Iguazio’s unique MLOps solution and create real business impact faster.”
Enterprises that use Amazon SageMaker can continue to develop models there and deploy them quickly and effortlessly to production using Iguazio. For enterprises that deploy AI in hybrid environments, Iguazio also supports model development for AWS Outposts. Iguazio runs as containers on top of Amazon Elastic Kubernetes Service (Amazon EKS) and can read and write data to Amazon Simple Storage Service (Amazon S3).
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