Tools \u00b7 On-Premise LLM
On-Premise LLM
Private, self-hosted models.
Some organizations cannot send their data to a cloud AI provider. Data sovereignty requirements. Security classifications. Regulatory mandates. Institutional risk posture. For those clients, we deploy capable open-source language models on their own infrastructure.
The model runs inside your environment. Your team interacts with it through a standard API. Your data never leaves your control. Production deployment — compute, MLOps, observability, and governance from the start.
What we build
Model selection
Optimal model for your use cases, infrastructure, and compliance constraints. Llama and Mistral are our defaults. The decision depends on performance, memory, and regulatory requirements — not which model is trending.
Infrastructure provisioning
Compute, storage, and networking for your workload requirements. GPU or high-memory CPU as required. Network segmentation appropriate to your security posture.
Installation, configuration, and validation
Comprehensive validation before production traffic routes to the model. Performance benchmarks, accuracy tests against your actual use cases, latency measurements under representative load.
API access and service connectivity
Standard API interface so your internal applications, agents, and MCP-connected systems communicate with the hosted model the same way they would a cloud-hosted model.
MLOps and governance
Versioning, deployment, and retraining pipelines. Logs, monitoring, metrics, role-based access, audit logging, and data handling policies aligned to your regulatory environment.
Right for you if
- Data sovereignty requirements prohibit transmission to cloud AI providers
- Security classifications require air-gapped or on-premise infrastructure
- Regulatory environment mandates AI outputs be generated from within your own environment
Not right for you if
- You are not yet clear on your use cases — on-premise deployment without a defined application is significant compute investment with no return
- Cloud AI is available to you — on-premise adds infrastructure overhead that cloud deployments do not carry
Want to see what this looks like for your business?
45 minutes. No cost. No obligation.