Sold by: Iguazio
Overview
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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Delivery method
Delivery option
AWS CloudFormation Stack
Latest version
Operating system
Linux
Deployed on AWS
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.
Pricing
Free trial
Try this product free for 30 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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 covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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.
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
Support
Vendor support
The community edition has limited support. To get assistance, join our slack community channel at
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.
Customer reviews
Vaishali R.
Iguazio Bewertung: Eine produktionsorientierte MLOps-Plattform für skalierbare KI-Bereitstellung
Reviewed on May 09, 2025
Review provided by G2
Was gefällt dir am besten the product?
Was mir an Iguazio am besten gefällt, ist der starke Fokus auf produktionsreife KI. Es vereinfacht den ML-Lebenszyklus, indem es Echtzeit-Datenverarbeitung, Feature Engineering und Modellbereitstellung in einer Plattform integriert. Der integrierte Feature Store, serverlose Funktionen und die automatisierte Pipeline-Orchestrierung machen das Bereitstellen und Verwalten von Modellen nahtlos. Es ist besonders nützlich für Teams, die schnell vom Entwicklungs- in den Produktionsmodus wechseln müssen, ohne auf mehrere Tools oder manuelle Schritte angewiesen zu sein. Iguazio ist wirklich für skalierbare, unternehmensgerechte KI gebaut.
Was gefällt Ihnen nicht? the product?
Iguazio ist komplex für Anfänger und hat keine transparente Preisgestaltung.
Was ist ein Problem? the product Solving und wie profitieren Sie davon?
Iguazio löst das Problem der langsamen und fragmentierten ML-Bereitstellung, indem es Datenverarbeitung, Modelltraining und Echtzeitbereitstellung in einer Plattform vereint. Dies hilft, die Zeit bis zur Produktion zu verkürzen, sorgt für eine bessere Modellüberwachung und verbessert die Zusammenarbeit zwischen Data Scientists und DevOps — letztendlich werden KI-Projekte schneller, zuverlässiger und skalierbarer für den Unternehmenseinsatz.
Leave a comment0 comments
Computersoftware
Consolidated MLOps platform ideal for multi-hybrid cloud
Reviewed on Mar 06, 2024
Review provided by G2
Was gefällt dir am besten 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.
The solution team was helping implementation very efficiently.
Was gefällt Ihnen nicht? the product?
There is nothing currently that disturbes me. Additional integrations are always welcome!
Was ist ein Problem? the product Solving und wie profitieren Sie davon?
Automation of otherwise manual AI/ML processes, less friction between different roles and handovers
George L.
Leistungsstarke MLOpls-Plattform und erstaunlicher Support
Reviewed on Feb 26, 2024
Review provided by G2
Was gefällt dir am besten the product?
Iguazio bringt Superkraft in die Hände von Datenwissenschaftlern - mit einem Knopfdruck können Sie Ihre Cloud-Computing-Ressourcen für GPU-beschleunigtes Modelltraining nutzen und nach Abschluss auf null skalieren, um Kosten zu sparen. Mit Kubeflow-basierten Pipelines ermöglicht Iguazio die Automatisierung von maschinellem Lernen bei Training und Bereitstellung, was zu einer enormen Produktivitätssteigerung führt und es einem ML-Team ermöglicht, weit über seine normale Kapazität hinaus zu skalieren. Die MLRun-Bibliothek erweitert die Fähigkeiten des Teams weiter, indem sie zahlreiche gängige Anwendungsfälle implementiert, wie z.B. Artefaktprotokollierung und Experimentverfolgung. Das technische Support-Team von Iguazio ist unübertroffen - mit ihrem tiefen Fachwissen in Kubernetes, DevOps, maschinellem Lernen und Softwareentwicklung bieten sie reaktionsschnellen Support zu einer umfassenden Liste von Themen.
Was gefällt Ihnen nicht? the product?
Die Fehlersuche kann vereinfacht werden, indem es einfacher wird, Systemprotokolle zu erfassen und mit dem Support-Team zu teilen.
Was ist ein Problem? the product Solving und wie profitieren Sie davon?
Iguazio löst viele Probleme für uns, darunter die wichtigsten sind ML-Infrastrukturmanagement, ML-Automatisierung. Die Vorteile sind Produktivität und Kosteneinsparungen.
Industrieautomatisierung
Data science to life
Reviewed on Nov 18, 2021
Review provided by G2
Was gefällt dir am besten the product?
It seamlessly takes the model to production by simplifying the data science process and saving cost using business innovation across different usecases.
Was gefällt Ihnen nicht? the product?
Nothing as such disliking factors are there as far as my experience.
Was ist ein Problem? the product Solving und wie profitieren Sie davon?
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.