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MLflow Service

Start using our hosted MLflow service by purchasing from the AWS Marketplace - free trial included

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What is MLflow Service?

InfinStor's MLflow Service is a cloud hosted MLflow service

Easiest way to use MLflow

Our service is securely available 24x7 in the cloud. You can access InfinStor MLflow from anywhere - your laptop, your VMs, your Kubernetes containers, etc. without the need to run your own MLflow server, Database, etc.

Cost

Simple - $120 per year per user. No limits of any kind - experiments, runs, models, uptime, etc. The MLflow database and the MLflow artifact storage S3 bucket are created in your own AWS account - you are responsible for those charges

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Sign up for MLflow Service Free Trial on AWS Marketplace

Click on Sign up in the navbar, and you will be taken to our listing in the AWS Marketplace. Here's how you sign up for the free trial

1

AWS Marketplace start free trial

Accept standard free trial contract at AWS Marketplace page for InfinStor MLflow

2

Configure your AWS Account for InfinStor using our provided CloudFormation template

Easy one click configuration of your AWS account for use with InfinStor MLflow

3

Login and use InfinStor MLflow

InfinStor MLflow service is available 24x7 in any laptop, VM, container, etc. where you need it

How to use the MLflow Service

Step by step instructions for using the InfinStor MLflow Service

  1. Set up the MLFLOW_TRACKING_URI environment variable

    • Set the environment variables MLFLOW_TRACKING_URI to infinstor://mlflow.infinstor.com/

      export MLFLOW_TRACKING_URI=infinstor://mlflow.infinstor.com

    • Note that this environment variable must be available in all locations where you plan to use mlflow, e.g. Jupyterlab

  2. Create a new experiment

    • Run the command 'mlflow experiments create -n aabbcc', or alternatively, press the plus button in the MLflow web UI to create a new experiment. Note the experiment id printed out by this command

      mlflow experiments create -n aabbcc

  3. Configure the MLFLOW_EXPERIMENT_ID environment variable

    • The environment variable MLFLOW_EXPERIMENT_ID must be set to the experiment id created in step 2

      export MLFLOW_EXPERIMENT_ID=31

  4. Access the MLflow web UI.

    • The MLflow web user interface is available here.

Get started with the MLflow Service

Click the steps below to get started. For any questions, we provide free email support at support@infinstor.com.

1

Sign up for the AWS Marketplace free trial

InfinStor MLflow is available for free trial at the AWS Marketplace

View instructions
2

Configure your own AWS Account for InfinStor

The MLflow database and MLflow Artifact bucket are created in your AWS account

View instructions
3

Login and use the InfinStor MLflow Service

InfinStor MLflow is fully authenticated - you must login to use it

View instructions

Step 1: Sign up for the AWS Marketplace Free Trial

The AWS Marketplace Free Trial is a great way to evaluate the InfinStor MLflow Service - detailed instructions here

  1. Login to your AWS account using your web browser

    • Search for Marketplace

  2. In the Marketplace search, look for InfinStor

  3. Sign up for the free trial

Screen Capture Video

Screencapture video showing how to sign up for InfinStor MLflow on AWS Marketplace and configure your AWS account for use with InfinStor MLflow.

Step 2: Configure AWS Account

Configure your own AWS Account for use with InfinStor. Details here

  1. We provide a convenient CloudFormation template that sets up your AWS account

  2. Note that this CFT creates a dynamodb table for storing the MLflow database and an S3 bucket for MLflow artifacts

Step 3: Use InfinStor MLflow

Login and use InfinStor MLflow - details

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