OpenClaw Cost-Saving Tips: Schedule Instance Start/Stop and Auto Scaling

As an AI training and inference cloud platform, OpenClaw instance costs often make up the largest expense. Mastering instance scheduling strategies can significantly reduce idle spending. Here are three practical tips to help you run more tasks with less money.

Scheduled Start/Stop: No More Overnight Waste

Many developers launch instances at work and forget to shut them down after hours, leading to overnight charges. Using OpenClaw’s “Scheduled Start/Stop” feature in the console, you can set automatic shutdown at 6:00 PM and startup at 9:00 AM daily. This cuts about 40% of non-working hour billing each month.

Setup is simple: go to the “Automation” panel in your instance details, add a Cron rule, or pick a preset time. Remember to save your current work state to avoid data loss.

Auto Scaling: Resources on Demand

Business traffic has peaks and valleys. By configuring an auto scaling group, OpenClaw automatically adds or removes instances based on CPU/GPU utilization. For example, in an inference service scenario, keep 2 instances during daytime traffic, scale up to 5 during evening peaks, and drop back to 1 during low hours.

This not only prevents lag during spikes but also avoids paying for 24/7 high-end configurations. Pair it with a shared load balancer for seamless transitions. You can create scaling policies in the “Auto Scaling” menu—it’s a free feature with no extra cost.

Spot Instances + Hybrid Scheduling: Cut Costs in Half

For training or batch jobs, spot instance prices are often only 20–30% of on-demand rates. OpenClaw supports hybrid deployment of spot and on-demand instances: use on-demand for critical tasks and spot for non-critical batches. When a spot instance is reclaimed, the system automatically switches to an on-demand one.

This “spot + on-demand” hybrid model can reduce overall costs by over 50%. Simply select “Spot” when launching an instance and set your maximum bid. Choose regions with low interruption frequency (e.g., us-east-1) to avoid frequent restarts.