Keep local inference local.
Harbor One runs coding-model inference on your own hardware and network. That gives your organization direct control over where local prompts, source code, context, and model outputs are processed.
For requests handled locally by the appliance, inference does not require sending every prompt or code snippet to an outside model provider.
Harbor One is installed inside the environment you control.
For requests handled locally by the appliance, inference does not require sending every prompt or code snippet to an outside model provider.
Customer-owned hardware
Harbor One runs on an appliance you buy and place on your network — under your physical and operational control.
Local inference path
Supported local workloads process prompts, source, context, and outputs on infrastructure you control rather than a cloud model API.
Your deployment policies
Fit Harbor One into the network, privacy, and operational requirements your organization already runs.
Keep more of your coding workload on infrastructure you own.
- Routine transfer of source code and project context to external model APIs for local inference.
- Dependence on a third party’s model-service availability for supported local workflows.
- Exposure to future cloud-provider pricing or policy changes for the workloads you keep local.
- The need to share credentials for a metered external model endpoint when local inference is sufficient.
Talk to Enba about the environment you need.
Local model inference does not require a cloud model provider. Network requirements for setup, updates, support, and diagnostics may vary by deployment.
Have a specific network, privacy, or deployment requirement?
Talk to Enba about the environment you need Harbor One to operate in — including restricted-network or offline requirements.
Have a specific deployment requirement?
Talk to Enba about the network, privacy, or operational environment you need Harbor One to operate in.