Experience Seamless Model Deployment with mlangles
Streamline your model deployment with mlangles, offering automated rollouts, version control, and continuous monitoring for optimal performance and scalability. Ensure full data privacy and intellectual property protection, while maintaining complete control over your models post-deployment. With rollback strategies and end-to-end lifecycle management, mlangles makes deployment faster, secure, and hassle-free.
Model Hub
Centralized Management of Models, Versions, and Metadata
Efficient model management starts here. mlangles Model Hub provides a centralized repository to store, organize, and track your models, along with their versions and associated metadata. Easily manage model updates, review performance metrics, and access key details like training data, parameters, and evaluation results. With powerful search and filtering capabilities, quickly find and reuse models, ensuring consistency and accelerating your AI deployment process.
Model Hub
Continuous Integration/Continuous Deployment
Seamless Updates with Continuous Integration and Deployment
Ensure smooth, reliable updates with mlangles CI/CD pipeline integration. Automatically push new model versions and updates to production with continuous integration and delivery, streamlining your deployment workflow. This enables rapid experimentation and iteration, while maintaining high-quality standards. With automated testing and validation at every stage, you can confidently deploy model updates, ensuring minimal downtime and maximum performance.
Continuous Integration/Continuous Deployment
Managed Model Deployment
Automated Deployment with Rollback and Governance
Deploy your models with ease and confidence using mlangles managed deployment capabilities. Our platform automates the entire deployment process, from staging to production, and includes built-in rollback strategies to ensure minimal disruption. Integrated governance features allow you to maintain control over model performance and compliance, while automated monitoring ensures your models run at peak efficiency. With mlangles, deploying and managing your AI models is both simple and secure.