Enterprise MLflow
Dedicated Enterprise-wide MLflow service
Authenticate/Authorize/Share between users and groups
Fully managed service for data scientists
Experiments can be shared with chosen users and groups. Models can be shared with chosen users and groups.
Scale from a handful to thousands of users
No fixed Cloud Costs, pay per use. Hundreds of thousands of experiments and models.
Completely modern cloud architecture
Serverless. Not limited by traditional databases such as MySQL or PostgreSQL.
Encryption everywhere
Including on wire encryption and at rest encryption.
Robust Security
Experience a completely reimagined MLflow.
Share
Model and experiment sharing between team members in an organization.
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Authenticate
All access methods are authenticated, like MLflow Web GUI, REST API, or CLI. Federate to any corporate directory.
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Authorize
Experiment and model authorization allow permission to create, view and manage runs model versions.
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High Availability
Resilience to Data Center Failure. Service is guaranteed to be up even if an Availability Zone fails. Automatic – no administrator action required. No downtime, no loss of data.
Completely Serverless
Available in three Availability Zones by default. Auto Scaling and Load Balancing, hence resilient to DDoS
Static Files
Global Availability through CloudFront. Low Latency Loading of compressed assets from closest PoP
Disaster Recovery
Resilience to Region Failure. Administrator can bring up service in backup region in under 15 minutes. Manual Action required. No loss of data, about 30 minutes of downtime.
Completely Serverless
DynamoDB Global Table maintains replica of MLflow database
Persistent DynamoDB
Serverless Application can be brought up in backup region within minutes
Available Integrations
InfinStor logs code, parameters, and output of cell to MLflow, and captures cell reruns with modifications. Better than simply storing Python code in Git.
JupyterLab
Automatic MLflow Tracking of Every JupyterLab Run
Sagemaker Studio
Automatic MLflow Tracking of Every Sagemaker Run
Get started with InfinStor for free
Create a bucket for storing MLflow artifacts and provide InfinStor service permission to access it.
MLflow Free Service
Start using our free service by creating a bucket for MLflow artifacts in your AWS account and permitting our service to access the bucket.
MLflow Kernel
MLfLow Kernel connects to an MLflow service and records all the data science activities in the notebook as MLflow artifacts.
