Cloud-Plattformen · 27.08.2026, 16:18 UTC
Deploy personal AI agents with Cloud Run instances
| Schweregrad | info |
|---|---|
| Kategorie | Cloud-Plattformen |
| Quelle | Google Cloud Blog ↗ |
| Veröffentlicht | 27.08.2026 UTC |
Sicherheitsmeldung mit Schweregrad noch nicht bewertet. Technische Details im Tab „Originaltext“; empfohlene Schritte in der Checkliste.
Need a low-cost, high-performance way to run long-lived, stateful workloads such as AI agents? Today, we introduced Cloud Run instances, which let you do just that. Consider AI agents such as OpenClaw or Hermes, which are intended for individual developers or personal use. Because these agents often work continuously and tend to serve only one user at a time, their infrastructure requirements look quite different from stateless, high-throughput web services that typically run on Cloud Run services. Cloud Run services scale to zero when requests stop, so they aren’t ideal for a long-lived agent that expects exactly one copy to be running continuously. On the other hand, the alternative — running a dedicated VM — means paying for full compute 24/7, managing operating system updates, opening firewall ports, and provisioning your own HTTPS endpoints. Cloud Run instances provide dedicated, singleton compute runtimes on Cloud Run. They have the following attributes:
Runs just one instance with no autoscaling
Up to 7-day continuous runtime, with automatic restart policy configured by default
Every instance gets a HTTPS URL that remains unchanged across updates and restarts.
You can stop each instance when you aren't using it and resume it whenever you need it
The cost to run a Cloud Run instance with 1 vCPU and 1 GiB of memory continuously for 30 days is $5.70. Cloud Run instances use shared vCPU with vCPU burst budgets to run continuously for a low, predictable price. This model is also ideal for long-lived agents that aren’t doing compute-intensive work all the time, and …