Deployment options
Choose the right balance of privacy, speed, cost, performance, and control for each AI agent workflow.
BlueMouse.ai supports on-premise GPU deployment, private cloud open-source deployment, commercial model API deployment, and hybrid architectures.
Three core models
Run open-source or fine-tuned models on your own GPU infrastructure. Your data stays in your environment, and usage is not constrained by external token billing.
Run open-source models in a secure off-site environment with scalable infrastructure, higher usage bands, and controlled data flows.
Use high-performing proprietary models through paid token-based APIs for advanced reasoning, speed, and rapid deployment.
Hybrid architecture
Some workflows need internal model execution. Others benefit from commercial API reasoning. We help design a hybrid model strategy that keeps sensitive work private and uses external models only where appropriate.
Finance data, regulated documents, customer records, internal policies, and private knowledge bases can run on controlled infrastructure.
Drafting, summarization, classification, and research workflows can use commercial models when the data and terms are acceptable.
Cost and control
Architecture first
We will help you compare privacy, cost, speed, and performance before you commit to a production architecture.