AWS Marketplace: Iguazio Community Edition

Overview

Product video

The Iguazio AI Platform provides a complete AI workflow in a single ready-to-use platform that includes all the required building blocks for building, deploying, operationalizing, scaling and de-risking ML and GenAI applications in live business environments.

If you need access to our Enterprise offering please contact us at Iguazio_AWS_Marketplace@iguazio.com or https://www.iguazio.com/contact/ so we can provide a Private Offer.

Highlights

From POC to production - Get your AI projects out of the lab and into production with full automation and auto-scaling capabilities, as well as governance, guardrails and monitoring.
LLM Customization - Responsibly fine-tune models with RAG, RAFT and more. Improve model accuracy and performance at minimal cost.
GPU Provisioning - Optimize GPU resources by scaling usage up and down as needed, and deploy your workloads in any environment (including AWS GovCloud, on-prem or hybrid environments)

Details

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Iguazio

Features and programs

Financing for AWS Marketplace purchases

AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.

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Pricing

Free trial

Try for free

Try this product at no cost for 30 days according to the free trial terms set by the vendor.

Iguazio Community Edition

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View purchase options

Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.

Usage costs (1)

Info

Dimension	Description	Cost/unit/hour
Hours	Container Hours	$0.68

Vendor refund policy

All fees are non-cancellable and non-refundable except as required by law

Legal

Vendor terms and conditions

Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

Content disclaimer

Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

Usage information

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Delivery details

AWS CloudFormation Stack

Supported services: Learn more

Amazon EKS

Container image

Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.

Version release notes

Bug fixes and improvements

Additional details

Usage instructions

Refer to the deployment guide for detailed usage instructions.

Resources

Vendor resources

Iguazio Overview & Product Info

Iguazio & AWS Integration

Example Demo: Real-time Agent Co-pilot

Support

Vendor support

The community edition has limited support. To get assistance, join our slack community channel at

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AWS infrastructure support

AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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Customer reviews

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Ratings and reviews

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6 external reviews

External reviews are sourced from G2 and are not included in the star rating for this product.

Computer Software

Consolidated MLOps platform ideal for multi-hybrid cloud

Reviewed on Mar 06, 2024

Review provided by G2

What do you like best about the product?

The experience and interface is the same even if it is deployed in various compute environments, so you can combine different cloud or onprem resources in the same dashboard.
The solution team was helping implementation very efficiently.

What do you dislike about the product?

There is nothing currently that disturbes me. Additional integrations are always welcome!

What problems is the product solving and how is that benefiting you?

Automation of otherwise manual AI/ML processes, less friction between different roles and handovers

Powerful MLOpls platform and amazing support

Reviewed on Feb 26, 2024

Review provided by G2

What do you like best about the product?

Iguazio brings super power in the hands of data scientists - with the push of a button, you can leverage your cloud compute for GPU accelerated model training and scale to zero for cost savings once completed. Using Kubeflow based pipelines, Iguazio enables machine learning training and deployment automation, leading to tremendous productivity improvement, and allowing an ML team to scale well beyond its normal capacity. The MLRun library further enhances the team's capabilities by implementing numerous common use cases, such as artifact logging, and experiment tracking. The Iguazio technical support team is second to none - using their deep expertise in Kubernetes, DevOps, machine learning and sofware development, they provide responsive support on a comprehensive list of topics.

What do you dislike about the product?

Troubleshooting can be simplified by making it easier to capture systems logs and share with the support team.

What problems is the product solving and how is that benefiting you?

Iguazio solves many problems for us, among them the most important are ML infrastructure management, ML automation. The benefits are productivity and cost savings.

Data science to life

Reviewed on Nov 18, 2021

Review provided by G2

What do you like best about the product?

It seamlessly takes the model to production by simplifying the data science process and saving cost using business innovation across different usecases.

What do you dislike about the product?

Nothing as such disliking factors are there as far as my experience.

What problems is the product solving and how is that benefiting you?

I developed a real time model with the help of Iguazio AI. So I am able to get the model into production in a short span of time added to that they will be providing constant support also.