Sold by: IntuzÂ
Deployed on AWS
Free Trial
AWS Free Tier
This product has charges associated with it for pre-configuration and packaging by Intuz. Deploy MLflow with an integrated MinIO artifact store, fully secured and pre-configured for seamless ML experiment tracking and artifact storage. Ideal for teams managing end-to-end machine learning lifecycles.
Overview
This is a repackaged open source software product wherein additional charges apply for pre-configuration and packaging by Intuz.
The Intuz MLflow with Integrated MinIO Artifact Store AMI delivers a production-ready environment for managing the machine learning lifecycle. MLflow is pre-installed and configured to use MinIO as its artifact store, streamlining the setup for experiment tracking, model versioning, and storage.
The stack is secured with password-based authentication for both MLflow and MinIO, offering users a self-hosted alternative to public cloud-managed solutions. Built for data scientists and ML engineers, this solution simplifies tracking, storing, and accessing machine learning assets in a controlled, private environment.
Highlights
- Integrated Stack: MLflow is configured to use MinIO as the artifact store-no setup needed
- Secure Access: Password-protected web UIs for both MLflow and MinIO using instance ID
- Pre-Configured and Scalable: Ready-to-use on launch with no manual integration required
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.02
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 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 | Cost/hour |
|---|---|
t3a.medium Recommended | $0.09 |
t2.micro AWS Free Tier | $0.09 |
t3.micro AWS Free Tier | $0.09 |
m5.4xlarge | $0.09 |
t3.xlarge | $0.09 |
t2.xlarge | $0.09 |
m5.large | $0.09 |
m5.8xlarge | $0.09 |
t2.small | $0.09 |
m6a.32xlarge | $0.09 |
Vendor refund policy
Intuz will not refund money in any case.However, you can cancel your subscription any time.
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)Â .
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
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Initial release of the Intuz MLflow with Integrated MinIO AMI
MLflow pre-installed and configured to use MinIO as the artifact store
Secure login enabled for both MLflow and MinIO using instance ID as password
Web-based access to MLflow UI and MinIO console for simplified usage
System services optimized to auto-start on instance boot
Additional details
Usage instructions
After launching the Intuz MLflow with Integrated MinIO AMI, wait approximately 5 minutes for all services to initialize. Access the MLflow UI by navigating to public-ip in your browser, and log in with username mlflow and the EC2 instance ID as the password. Access the MinIO console by visiting public-ip:9000 using username minio and the EC2 instance ID as the password. For SSH access, connect using ssh -i your-key.pem ubuntu@public-ip
Support
Vendor support
We provide best effort technical support for this product. We will do our best to respond to your questions within the next 24 hours in business days. For any technical support or query, you can drop an email here: cloudsupport@intuz.com or fill up this form:
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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