Local LLM Deployment

Run production-grade LLMs on your infrastructure. No API fees, no data egress, full control over your AI stack.

Why Deploy LLMs Locally?

No per-token API fees. After initial setup, run unlimited inference at predictable infrastructure costs.

Your data never leaves your infrastructure. Critical for regulated industries and sensitive applications.

On-premises inference eliminates network round-trips. Sub-100ms response times for most applications.

Open-source models mean you control your AI stack. Switch models or optimize for your specific use case.

Best for complex reasoning tasks

Best for fast responses

Best for balanced performance

Best for specialized tasks

Production-ready LLM server with automatic batching, quantization, and multi-model support. Deploy via Docker or Kubernetes.

CUDA-optimized inference with automatic model sharding for multi-GPU setups. CPU inference with quantization for cost-sensitive deployments.

Supabase with pgvector for semantic search. Connect LLMs to your documents, knowledge bases, and proprietary data.

n8n for visual workflow automation. Connect LLMs to databases, APIs, CRMs, and business logic without coding.

Real-time metrics on latency, throughput, GPU utilization. Custom dashboards for prompt debugging and performance optimization.

Schedule a consultation to design your on-premises AI infrastructure.