H2O Flow is a tool for machine learning workflows, typically running as part of the H2O.ai suite, and Akash offers a decentralized cloud environment where you can host this application.
Step 1: Write the deploy.yaml File for H2O Flow
- Define Basic Configuration Create a new file named
deploy.yaml
. Inside this file, include the necessary fields that Akash requires, such as version, services, profiles, and deployments. Here’s a sample structure:
Here’s a breakdown of what each section is doing:
-
Services: Defines the H2O Flow service, specifying the Docker image (
h2oai/h2o-open-source-k8s:latest
). This image includes H2O Flow in the /h2o.jar
file. -
Profiles: Sets the required resources like CPU, memory, and storage.
-
Deployments: Specifies how many instances of the service will be created (here, just one).
- Save the
deploy.yaml
file in your working directory.
Step 2: Install Akash CLI
If you haven’t already installed the Akash CLI, install it by following these instructions:
- Download the Akash CLI from their GitHub Releases page.
- Install the CLI by following the instructions for your operating system.
Step 3: Initialize and Fund Your Wallet
- Create a Wallet if you don’t already have one:
-
Fund Your Wallet: Get some Akash tokens (AKT) by either purchasing them or using the faucet if available.
-
Check Your Balance:
Step 4: Deploy on Akash
- Create a Certificate:
- Create a Deployment: Run the following command to start the deployment with your deploy.yaml file:
- View the Deployment Status: Once deployed, you can check the status by running:
- Get the Service Endpoint: Once the deployment is live, you will get an external IP or domain through which you can access H2O Flow. Use this to connect to the H2O Flow service.
Step 5: Connect to H2O Flow
-
Open a browser.
-
Navigate to
http://<your-service-endpoint>
. -
You should see the H2O Flow interface.
This should give you a functional deployment of H2O Flow on Akash!