OpenClaw hosting aligns measured demand with Gateway control
We offer right-sized cloud VPS hosting and dedicated servers with matched compute, storage, bandwidth, regional placement, and direct control over infrastructure capacity.
We offer right-sized cloud VPS hosting and dedicated servers with matched compute, storage, bandwidth, regional placement, and direct control over infrastructure capacity.
Run compact API-backed Gateways separately so team and client instances retain clear resource boundaries.
Assign sustained agents, browser sessions, local models, and retained state to attributable physical resources.
Keep installation, keys, updates, hardening, monitoring, backups, and restore tests under your team's control.
Choose region and bandwidth around user paths, model endpoints, messaging traffic, file movement, and recovery.
An OpenClaw Gateway sits at the boundary between credentials, workspace state, browser sessions, tool access, and scheduled work. Size capacity from Gateway count, concurrent agents, retained state, and whether inference calls external APIs or runs locally, then validate the plan under representative workload conditions before production deployment.
Melbicom maps compact, API-backed or separately scaled instances to cloud VPS, while sustained multi-agent, browser-heavy, local-model, and isolation-sensitive estates can use dedicated server hosting. Region and bandwidth then follow user paths, model endpoints, messaging platforms, file movement, recovery traffic, and administration paths.
Your team remains the OpenClaw operator in either shape. You install the Gateway and dependencies, control keys and channel credentials, define network exposure, apply updates, monitor software, back up state and workspace, and test restores; Melbicom supplies the selected infrastructure and 24/7 infrastructure support without taking over OpenClaw operations.
Run an API-backed Gateway on separately sized cloud VPS while retaining credentials, state, and workspace.
Give each team a separate cloud VPS with its own credentials, state, update cadence, and controlled release process.
Separate client Gateways so access policies, channel tokens, files, and backups remain attributable to each client.
Test upgrades, integrations, channels, and restore procedures on isolated capacity before any production release.
Run sustained agent load on dedicated resources so CPU, memory, storage, and process behavior remain attributable.
Reserve isolated physical capacity for browser sessions, downloads, screenshots, logs, and long-running automation jobs.
Size dedicated server hosting around model footprint, runtime demand, state retention, and the inference stack you operate.
Consolidate Gateway, browser, file, and tool workloads on hardware sized for sustained demand and tested recovery plans.