Windows Ollamav1.0.0

Connect multiple Windows PCs into a single intelligent endpoint for running large language models like Llama 3.3 70B. The router distributes inference requests across available GPUs, enabling even a gaming desktop and a work laptop to collaborate on demanding AI tasks.

Use the built-in dashboard at localhost:11435/dashboard to monitor fleet health, model load, and inference latency across all Windows nodes. This allows IT teams to spot bottlenecks or failing nodes immediately.

Automatically route requests to the node with the most available GPU memory. For example, a RTX 4090 handles the heavy llama3.3:70b while a RTX 4060 serves phi4-mini, maximizing throughput across heterogeneous hardware.

Deploy a private AI assistant that runs entirely on local Windows machines without cloud dependency. The fleet router exposes an OpenAI-compatible API, so existing applications can switch to the local endpoint with minimal code changes.

Offer a monthly subscription service that provides pre-configured fleet routing, automatic updates, and priority support for enterprises running Ollama on multiple Windows PCs.

Charge a one-time fee to assess a client's Windows hardware, install and tune the fleet router, and integrate it with existing workflows (e.g., custom RAG pipelines or API wrappers).

Sell online courses or workshops teaching IT professionals how to set up and maintain an Ollama Herd fleet on Windows, including troubleshooting and performance tuning.