Remote compute for you and your AI
Compute, already connected.
noBGP Compute gives you a remote node inside your noBGP environment, ready to use from your existing tools or through an MCP-compatible AI assistant.
Why
A machine shouldn’t require a new infrastructure project.
General compute · Private reach · AI-native control
noBGP today
Connects the computers, cloud systems, and edge devices you already have.
noBGP Compute
Supplies a remote node when the next project needs a machine of its own.
Workflow
Ask for a machine. Keep working.
Through MCP, your AI can request compute when the work needs it, operate the node within its permissions, and initiate deprovisioning when the job is finished.
- 01
Describe the machine and the job.
Ask through MCP or begin through the noBGP experience.
- 02
noBGP Compute supplies a remote node.
Choose from documented node classes as the catalog becomes available.
- 03
The node joins the permitted environment.
Private reachability is part of provisioning, not a follow-up project.
- 04
Use your tools or continue through AI.
Run code, manage files, automate tasks, and operate permitted services.
- 05
Deprovision the node when the work is done.
Your AI can initiate the cleanup through MCP instead of leaving unused compute behind.
Advantage
The compute is useful because the connection comes with it.
Let your AI manage the node lifecycle
Provision compute when the task needs it and initiate deprovisioning when the work is done—without first assembling a separate cloud account, access path, and AI integration.
Put the node where permitted systems can reach it
The node arrives inside the noBGP operating model, with reach governed by the access policy you define.
Use it directly or delegate through MCP
Keep conventional human and software access while giving an AI assistant a controlled place to do real work.
What to run
A separate node for the work that shouldn’t depend on your laptop.
Development and testing
Move builds, experiments, and test services off your laptop without setting up a separate cloud network.
Agent workspace
Give an AI workflow a dedicated machine for running code, managing files, and operating tools.
Batch and automation
Add a worker when a data, media, build, or automation job needs more capacity.
Remote services
Run a service on a node already reachable from the systems that its noBGP policy permits.
Where it fits
Your AI can create the node, do the work, and release it.
Choose noBGP Compute when you want the machine, private connectivity, and AI control to arrive together. Instead of creating a VM, configuring its network and credentials, then handing access to an agent, your AI can provision a permitted node through MCP and initiate deprovisioning when the job is done.
| Option | What it gives you | What you still assemble |
|---|---|---|
| Your own device | A familiar machine you already control. | Capacity, uptime, maintenance, and separation from important work. |
| Cloud VM or VPS | A general-purpose remote machine. | Identity, private networking, access policy, and AI integration. |
| Agent sandbox | An isolated execution environment designed for agent code. | Participation in the wider private network used by your other systems. |
| noBGP Compute | A general-purpose remote node your AI can provision and deprovision through MCP, with a private path to permitted systems. | The workload, the permission boundaries, and when the node should remain available. |
Control
A computer your AI can use. Authority you can keep.
Provisioning a separate node can isolate experimental work from a laptop or production server. noBGP access controls still define who and what may reach it and which actions are permitted.
Give builds, experiments, and agent tasks a machine that does not need to be one of your important systems.
Connect the node only to the people, tools, and systems its noBGP policy permits.
Use the same noBGP permission and activity model that governs AI operation across connected systems.
FAQ
The questions the product should answer before you choose a node.
Why not just create a VM or VPS?
You can, but then you typically create the instance, configure identity and networking, manage keys or credentials, and give the AI a separate way to reach it. With noBGP Compute, your MCP-connected AI can initiate provisioning when a workflow needs a node, operate it within its permitted noBGP environment, and initiate deprovisioning when the work is finished. You spend less time preparing infrastructure for the agent and are less likely to leave unneeded compute running.
Does this replace the devices I already use?
No. Keep using owned devices when they fit. noBGP Compute adds capacity or isolation when a workflow should not depend on a laptop, home connection, edge device, or important server.
Is noBGP Compute only for AI workloads?
No. The core product is general-purpose remote compute for development, automation, batch work, and services. Selected accelerator-equipped node types may support documented small-model AI workloads.
Which node types, regions, prices, and persistence options are available?
Those launch details are intentionally absent from this messaging mockup. The production page should publish concrete CPU architecture, memory, storage, location, lifecycle, interruption, persistence, pricing, and support terms before asking customers to choose.
This is the proposed product experience. Exact provisioning steps and controls should be updated when the production interface is confirmed.
Add a machine. Keep your network.
Compute, private connectivity, and AI-operability—designed as one experience.