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Perpetual ML

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Usage-priced ML studio for tracking experiments, deploying models, and monitoring drift, aimed at solo devs and small data teams.

What it does

Perpetual ML is a cloud machine-learning suite that combines experiment tracking, model deployment (batch and real-time), and drift monitoring in a single web interface. It's built for solo developers and small data science teams who want a batteries-included alternative to assembling separate MLOps tools, with usage-based cloud billing.

Core features

Experiment tracking and comparison across model runs
One-click batch or real-time model deployment
Data drift and model drift monitoring
Continuous learning from real-time data
Marimo notebook execution in the cloud
Pay-as-you-go compute, storage, and egress billing

Best for

Tracking and comparing ML model experiments without extra tooling
Deploying a trained model for real-time inference quickly
Monitoring a production model for data or concept drift
Running notebook-based ML workflows without managing infrastructure

Pricing

Compute (Shared CPU)
$0.00014
Persistent Storage
$0.000069
Network Egress
$0.10