Marketplace For Buyers For Vendors For Partners

Managed Kubeflow on AWS

Charmed Kubeflow is the foundation of Canonical MLOps, an end-to-end MLOps platform that enables customers to develop and deploy machine learning models at any scale.

Purchase this listing from Webvar in AWS Marketplace using your AWS account. In AWS Marketplace, you can quickly launch pre-configured software with just a few clicks. AWS handles billing and payments, and charges on your AWS bill.

About

Overview

Canonical Managed Kubeflow delivers major gains in efficiency, flexibility and agility for enterprises requiring tailored, optimised service delivery at scale.

Our integrated solution is based on Charmed Kubeflow, Canonical’s advanced solution for MLOps. Managed Kubeflow offloads service delivery and enables your teams to focus on efficiently delivering business value.

With Charmed Kubeflow, data labs and MLOps teams need only train their data scientists and data engineers once to work efficiently. Charmed Kubeflow offers a centralized, browser-based data lab MLOps platform, improving governance and enhancing productivity.

Kubeflow is an open source MLOps platform for efficient AI and ML from research through development to production. Based on fully supported, best-of-breed open source technologies including Kubeflow, MLFlow and Tensorflow, Charmed Kubeflow enables secure, repeatable and efficient implementation of AI/ML applications from conception to production. Fully extensible Python and R support futureproof your investment.

Related Products

Sedai for ECS: Autonomous Optimization & Remediation

Sedai for ECS is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to reduce costs by 40%, improve performance by 35%, reduce FCIs by 50% and improve ops productivity 6x

AI based Intelligent Document Processing

Our product is an advanced artificial intelligence solution designed to streamline document processing workflows for businesses of all sizes. Leveraging cutting-edge machine learning algorithms, it automates the extraction, analysis, and interpretation of valuable information from a variety of documents, including invoices, contracts, forms, and more. With this powerful tool, businesses can significantly reduce manual effort, minimize errors, and accelerate decision-making processes.

Automated SAS to Pyspark Conversion

SAS workloads come with high costs, scalability challenges, and limited flexibility. Hexaware’s Amaze® accelerates SAS-to-PySpark migration using Gen AI and LLM-powered automation, ensuring a 70-80% conversion accuracy, 3x-5x faster execution, and up to 40% cost savings.

Vectra Cognito for Service Delivery Partners (Billed Monthly)

Vectra Threat Detection and Response for Partner Provided Consulting Engagements

Real-time & Historical Datafeeds | Global Post-War Contemporary Auctions

This dataset is prepared for statistical factor pricing models and standardized across variables including country, region, currency, vendor, artist for seamless data filtering. It contains 20+ years of all items in the Post-War & Contemporary art category sold on auction by Christie’s, Sotheby’s, Bonhams and Phillips from 2000 to date.

Philter

Philter deidentifies and redacts sensitive information, such as Personally Identifiable Information (PII) and Protected Health Information (PHI), in text.

Tuberculosis - Total number of cases in the US | CDC

Centers for Disease Control and Prevention provides free and open access to various health related data. This release contains total number of Tuberculosis cases reported in the United States, by region and by states, in accordance with the current method of displaying WONDER data. Data on United States will exclude counts from US territories. The data is available for past 2 years.

AWS Security Review

An AWS Security Review is an opportunity to ensure that your cloud infrastructure is optimized for performance, security, reliability, and cost-effectiveness. Our certified AWS architects will identify any potential issues or areas for improvement in your AWS environment and make recommendations to get your back on track.