AI & Automation on MassiveGRID PaaS
Three automation platforms that install in one click with their database and persistent storage, scale with webhook bursts, and charge for cloudlets rather than for executions.
AI & Automation packages on MassiveGRID PaaS
Automation platforms are priced by the execution in their vendors' clouds, which turns a busy workflow into a bill that grows with success. The three packages in this category on MassiveGRID PaaS, built on Virtuozzo Application Platform (formerly Jelastic), remove that meter: n8n installs with a PostgreSQL database and persistent storage, ready for queue mode and workers; Flowise installs the visual LLM-application builder with persistent data and authentication; Node-RED installs the flow editor with persistent flows and HTTP endpoints for devices and dashboards. Executions are unlimited; what you pay for is the environment's cloudlets by the hour.
Because these tools talk to external APIs and hold credentials, the region matters: each environment is deployed in New York, London, Frankfurt or Singapore and keeps its data there, which is how teams keep prompts, documents and tokens inside the EU or the US. The AI nodes in n8n and Flowise connect to the model provider of your choice, or to a model you host on MassiveGRID's GPU infrastructure.
The 3 AI & Automation packages
Each card leads to the package page with its topology, sizing table, FAQs and install buttons. Monthly figures are the Starter configuration at $0.003372 per cloudlet-hour, before volume discounts.
Choosing between the AI & Automation packages
n8n for integrations, Flowise for LLM applications, Node-RED for devices. n8n connects hundreds of SaaS applications and APIs with a visual editor and adds AI agent nodes; Flowise builds chatflows, agents and retrieval pipelines over your own documents; Node-RED is the editor for MQTT, sensors and industrial dashboards. The three run side by side in one account and can call each other over the internal network.
Size by executions per minute, not by workflows. n8n and Flowise are light at rest; webhook bursts and long-running AI calls are what need CPU and memory. The Starter configuration handles personal and small-team use, and queue mode with workers, which the Production row leaves room for, handles high volume. The queue mode post sizes a real workload.
Compare against the cloud plan you would otherwise buy. The n8n Cloud vs self-hosted model prices 200,000 executions both ways; for most teams past the hobby tier, the self-hosted environment costs less and has no execution ceiling.
Every package page carries a sizing table with three configurations. To price a configuration of your own, or to see what a package costs on a working-hours schedule, use the PaaS pricing calculator.
AI & Automation Questions
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