Overview
MLGym revolutionizes AI/ML development by offering instant access to production-ready environments with GPU acceleration. By leveraging Stratus5's unified platform—Infrastructure Manager for GPU resources, Product Delivery Engine for containerized environments, and Operations Suite for monitoring—MLGym delivers a seamless experience that eliminates infrastructure complexity for data scientists.
How MLGym Uses Stratus5
Powering AI Development at Scale
MLGym leverages Stratus5's integrated platform to create a comprehensive AI/ML development solution.
Infrastructure Manager
MLGym utilizes Stratus5's Infrastructure Manager to connect and orchestrate multi-cloud GPU resources, creating a flexible pool of compute capacity that can be allocated on-demand without vendor lock-in or complex management overhead.
Product Delivery Engine
The Product Delivery Engine enables MLGym to create containerized blueprints with pre-installed AI frameworks and libraries, which can be instantly deployed as custom environments through their API-driven platform with automatic domain provisioning.
Operations Suite
MLGym leverages Stratus5's Operations Suite for real-time monitoring, automated scaling, and security management of all deployed environments, ensuring optimal performance while maintaining complete visibility through customizable dashboards.
The MLGym Workflow with Stratus5
Seamless AI Environment Delivery
MLGym's implementation showcases how Stratus5's integrated platform creates a frictionless experience for AI developers.
Customer Selection
Customers choose from tiered plans ranging from starter environments to enterprise multi-GPU clusters, with pricing based on compute resources and required AI frameworks.
Blueprint Deployment
Stratus5's Product Delivery Engine automatically selects and deploys the appropriate pre-configured container with all required AI libraries and frameworks from MLGym's template repository.
Resource Allocation
The Infrastructure Manager automatically allocates GPU resources from MLGym's multi-cloud pool based on customer tier, with intelligent load balancing to optimize resource utilization across providers.
Monitoring & Scaling
The Operations Suite provides real-time monitoring and automated scaling of customer environments, with custom alerts and detailed usage analytics for both MLGym administrators and end-users.
Results with Stratus5
Transformative AI Development Platform
By leveraging Stratus5's integrated platform, MLGym has created a competitive advantage in the AI development space.
94% Faster Deployment
Customers can launch fully-configured AI environments in under 60 seconds versus the industry average of 18 hours, dramatically accelerating time-to-insight for data science teams and eliminating infrastructure setup tasks.
40% Cost Reduction
MLGym's multi-cloud approach with Stratus5 enables dynamic resource allocation that has reduced GPU costs by 40% compared to fixed provider options, passing these savings to customers while maintaining healthy margins.
300% User Growth
The flexibility of Stratus5's API has enabled MLGym to create highly customized pricing tiers and usage models, leading to 300% user growth in 6 months and increased adoption across academic, startup, and enterprise segments.
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