Desktop Edition

dAIve Desktop runs fully local.

For teams with sensitive data, offline requirements, and full control over models, projects, and compute.

Fully local

Data and models stay on your machine or in your own infrastructure.

Offline capable

Work without an internet connection using the same guided workflows as the web app.

No cloud compute credits

Performance depends on your hardware instead of cloud quotas.

Desktop WorkspaceLocal ready

Full control over data, models, and runtime.

The same guided dAIve workflow as the web app, but with local storage, your own compute, and no browser dependency.

Data residency

Local

Projects and models stay inside your environment.

Network

Offline-ready

Keep working without a persistent cloud connection.

Compute

Your hardware

Training and prediction run on your own system.

Desktop advantages

Local .dvp and .dvm project files
No shared cloud compute quotas
Built for sensitive engineering data
Best fit

When the desktop edition is the better choice.

When data ownership, approval processes, or offline operation matter more than instant browser access.

Sensitive process data

When raw datasets should not leave the company network.

Internal test environments

When ML workflows need to run in isolated or validated setups.

Long local work sessions

When teams want to manage projects, models, and exports directly on their machines.

Comparison

Why desktop?

Desktop and SaaS support different operating models. This is where the local edition stands out.

Desktop (local)

  • • Local data residency
  • • Offline operation
  • • Full system control

Web (SaaS)

  • • Fast browser onboarding
  • • Centralized team access
  • • Server-side scalability

Desktop Edition

Need dAIve without cloud dependency?

We can walk you through whether the desktop edition fits your workflow, infrastructure, and data requirements.