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    MLOps Starter Platform for Biotech, Fintech, and Analytics Teams

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    Deployed on AWS
    AWS Free Tier
    Deploy MLflow on AWS in Minutes. A secure, scalable MLOps platform built for data teams in biotech, finance, and AI startups. Automate infrastructure, centralize model tracking, and speed up ML delivery.

    Overview

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    Get production-ready MLOps in just a few clicks.

    This solution deploys MLflow on AWS with secure, autoscaling infrastructure - ideal for teams who need to manage machine learning models across dev, staging, and production environments without the overhead.

    Built with AWS CloudFormation, it provisions EC2, RDS, and S3 with best practices for encryption, VPC isolation, and IAM policies.

    Who is it for?

    ML engineers at biotech or finance companies managing multiple model versions

    Data scientists in regulated industries (HIPAA, SOC 2)

    Startups scaling their AI teams without a dedicated MLOps function

    What is included:

    CloudFormation templates to deploy the full stack

    Secure multi-tier VPC setup

    Auto-scaling compute and storage

    SSL, IAM roles, and logging

    MLflow UI for experiment tracking

    Need help getting started? Book a free walkthrough or get white-glove deployment support here: cloud@gmobility.com 

    Start deploying faster, tracking smarter, and scaling confidently with the MLflow MLOps Platform.

    Highlights

    • Deploy MLflow in Minutes: Instantly spin up secure, scalable ML environments on AWS using automated CloudFormation templates - no manual setup required.
    • Enterprise-Grade Architecture: Includes multi-AZ high availability, IAM roles, SSL encryption, and a 3-tier VPC setup to meet compliance and uptime requirements.
    • Let Your Data Scientists Focus: Eliminate DevOps overhead so teams can accelerate model development, tracking, and deployment with MLflow and AWS-native services.

    Details

    Delivery method

    Delivery option
    Scalable MLOps: A Secure & Automated Platform

    Latest version

    Operating system
    Debian 8/27/2024

    Deployed on AWS

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    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.
    Financing for AWS Marketplace purchases

    Pricing

    MLOps Starter Platform for Biotech, Fintech, and Analytics Teams

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (1)

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    Dimension
    Description
    Cost/month
    GMS MLOPS
    Admin of GMS MLOPS AMI
    $50.00

    Vendor refund policy

    no refund but contact for help

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    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

    Scalable MLOps: A Secure & Automated Platform

    This AWS-based MLOps platform provides a scalable and automated foundation for managing machine learning operations. It includes EC2 instances for compute, VPC for secure networking, S3 for storage, RDS for backend and IAM for access control. The platform is designed to streamline deployment and operation of ML workloads using infrastructure-as-code principles via CloudFormation.

    CloudFormation Template (CFT)

    AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."

    Version release notes

    Initial release of MLflow MLOps Platform with automated infrastructure setup, S3-based artifact storage, RDS PostgreSQL backend, and SSL-secured access via ACM integration.

    Additional details

    Usage instructions

    1. Launch the CloudFormation stack in your AWS Console.
    2. Configure parameters like IAM role, VPC, subnets, and domain name.
    3. After stack creation, access the MLflow tracking server using your domain name (e.g., https://mlops.example.com ).
    4. Log in with the provided credentials and start tracking your ML experiments.

    Resources

    Vendor resources

    Support

    Vendor support

    1. Basic: Email support (9 AM to 5 PM, Mon to Fri, 24 hr response), setup guidance, access to knowledge base, bug fixes, notifications for minor updates.
    2. Premium: 24/7 priority support (2 hr response), dedicated account manager, SLAs (99.9% uptime), custom configurations, proactive monitoring, updates. Please email cloud@gmobility.com  for any questions and support for this product.

    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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