Sold by: Global Mobility Services
Accelerate your machine learning initiatives with a fully managed MLflow stack, deployed securely on AWS using CloudFormation. Launch in days with built-in support for Auto Scaling, RDS, IAM, and PCI-ready controls — no DevOps team required.
Overview
MLflow MLOps Platform for AI Agents
Accelerate your AI agent development with a secure, scalable, and production-ready MLflow deployment on AWS. This platform enables fast iteration and governance-compliant operations for teams building, training, and monitoring AI agents or intelligent workflows.
Designed for enterprises and startups developing intelligent agents, LLM-based copilots, or ML-backed decision tools, the platform eliminates infrastructure overhead while maintaining enterprise-grade security. Deploy a pre-configured AWS CloudFormation stack with integrated services like Amazon RDS, S3, and ACM—ready to support model tracking, artifact storage, and HTTPS-secured APIs from day one.
With built-in Auto Scaling, IAM role isolation, and CloudWatch monitoring, teams can confidently deploy and manage AI agents across environments. Whether you're building internal copilots or customer-facing AI services, this platform provides a secure MLOps foundation for rapid delivery.
Key Features Agent-Ready MLOps – Ideal for building, tracking, and managing AI agents and ML-based tools
One-Click Deployment – Launch MLflow on AWS using a fully automated CloudFormation template
Enterprise-Grade Security – Includes encrypted RDS, SSL/TLS via ACM, and IAM role segmentation
High Availability – Auto Scaling groups and load balancing for production resilience
Observability Built-In – AWS CloudWatch integration for real-time metrics and health tracking
Seamless Artifact Management – Use S3 for secure storage of agent model checkpoints and logs
Ideal For This solution is perfect for AI/ML engineers, platform teams, and consulting firms building or scaling:
AI Agents & Intelligent Workflows
Domain-Specific LLM Applications
Internal AI Assistants & Copilots
ML Model-Driven Automations
Highlights
- Launch MLflow on AWS in minutes using our pre-built CloudFormation stack—designed for scalable AI agent workflows and model tracking, with minimal DevOps effort and full enterprise security.
- 🔒 Built-in Auto Scaling, encrypted RDS, and S3 integration ensure high availability, secure model storage, and simplified artifact management—ready for production AI workloads.
- ✅ Achieve PCI DSS and HITRUST compliance faster with secure infrastructure, governance controls, and audit-ready architecture designed for regulated, enterprise-scale deployments.
Details
Sold by
Categories
Delivery method
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
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.
Resources
Vendor resources
Support
Vendor support
Global Mobility Services is committed to ensuring a smooth and secure experience with the MLflow MLOps Platform. Whether you're launching for the first time or scaling across multiple teams, our support team is here to assist every step of the way.
📩 Email Support For all setup, deployment, or troubleshooting inquiries, reach us at cloud@gmobility.com . We guarantee a response within 24 hours during business hours.
🧰 Support Tiers
Standard Support (Included)
Deployment guidance for the CloudFormation stack Assistance with MLflow configuration and AWS service integration (RDS, S3, ACM) Troubleshooting and post-deployment validationPremium Support (Optional)
Priority response and extended support hours Access to dedicated engineers for customization, scaling, and advanced platform tuning Architecture reviews and integration strategy consultationOur U.S.-based team ensures that your MLflow implementation aligns with best practices for performance, security, and scalability—so you can focus on delivering value through machine learning.