Open WebUI
Private chat through a scoped Breeze connector.
On-prem AI orchestration
TensorBreeze
Turn the GPUs you already own into one secure, application-ready compute fleet.
- Control plane
- On your network
- Application API
- OpenAI-compatible
- Worker trust
- Outbound and signed
One fleet, many machines
Schedule the work. Breeze handles the hardware.
Applications submit a model request to Breeze Router. The Controller finds a capable GPU, stages approved resources, and keeps the application insulated from worker credentials and network topology.
- 01Connect
Enroll Linux, Windows with WSL, and Controller-hosted GPUs from one Console.
- 02Route
Match workload requirements to healthy GPUs, warm models, and available memory.
- 03Run
Execute through narrow service profiles and return results over an application-compatible API.
Supported apps
Familiar tools, preconfigured for the fleet.
Breeze separates client apps from inference providers, giving each integration only the credential and network access it needs.
Ollama
Node-local models presented through Breeze Router.
LM Studio
Desktop inference joined without exposing the desktop.
ComfyUI
Resource-complete visual workflows in an isolated runtime.
Designed for private infrastructure
A compromised Controller should not become a shell on every worker.
Workers connect outward. Release and orchestration instructions are signed. Providers expose narrow inference contracts rather than SSH, filesystems, or arbitrary commands.
- Per-application connector credentials
- Allowlisted service and workspace profiles
- Signed updates and resource manifests
- No shared filesystem between apps and workers
Private compute, finally coordinated