On-Premise AI Deployment

Your infrastructure, your data, your control

See How It Works

Privacy-first deployment

Data Sovereignty & Independence

When cloud APIs aren't an option, on-premise AI gives you complete control

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Complete Privacy

Data never leaves your network. Process sensitive information without external exposure.

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Zero Dependencies

No reliance on external LLM providers. Your AI keeps running even when OpenAI goes down.

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Cost Control

Predictable hardware costs. No per-token fees. At scale, on-premise wins economically.

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Compliance-Friendly

Supports compliance requirements -- HIPAA, SOC2, and industry-specific mandates. Helps your organization meet regulatory obligations without guaranteeing certification.

From Planning to Production

Our structured approach ensures successful deployment

1

Requirements Analysis

We understand your use cases, volume expectations, latency requirements, and compliance needs.

2

Hardware Specifications

Detailed recommendations for GPUs, CPUs, memory, and storage based on your workload.

3

Performance Projections

Token rates, latency estimates, throughput calculations, and capacity planning.

4

Network Architecture

Load balancing, failover strategies, monitoring setup, and security configuration.

5

Installation & Config

Model deployment, optimization, testing, and validation of production readiness.

6

Training & Handoff

Your team learns to manage, monitor, and maintain the system independently.

Complete Technical Specifications

Everything you need to make informed decisions and successful deployments

Deliverables

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    Hardware Requirements

    GPUs, CPUs, RAM, storage specifications

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    Throughput Metrics

    Expected tokens/second, latency ranges

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    Cost-Benefit Analysis

    On-premise vs cloud API comparison

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    Model Recommendations

    Llama, Mistral, Qwen, and specialized models

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    Optimization Strategies

    Quantization, batching, caching approaches

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    Installation Documentation

    Step-by-step deployment guides

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    Network Diagrams

    Architecture and security topology

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    Monitoring Setup

    Prometheus, Grafana, alerting configuration

Support Options

Consulting Only

Full specifications and documentation. Your team handles deployment.

Guided Deployment

We walk your team through installation with live support.

Full Service

We handle everything from hardware procurement to production validation.

Ongoing Support

Optional maintenance packages include:

  • • Model updates and fine-tuning
  • • Performance optimization
  • • Security patches
  • • Priority support access

Deep Infrastructure Knowledge

We've built our own on-premise AI infrastructure -- we know what works

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Multi-GPU Configurations

NVIDIA RTX, A100, H100 setups. AMD ROCm options. Tensor parallelism across cards.

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Model Quantization

4-bit, 8-bit, GGUF formats. Balance quality vs performance for your use case.

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Inference Servers

vLLM, TGI, LocalAI, Ollama. We recommend the right server for your workload.

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Load Balancing

HAProxy, nginx configurations. Failover strategies. Geographic distribution.

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Monitoring Stack

Prometheus metrics, Grafana dashboards, custom alerts for GPU memory and latency.

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Container Orchestration

Docker, Kubernetes deployments. GPU scheduling. Rolling updates without downtime.

Who We Work With

✓ Good Fit

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    Small to mid-sized businesses

    NOT enterprise-scale (those have internal teams)

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    Data privacy requirements

    Legal, healthcare, financial services

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    Ready for AI independence

    Understand the value of owning infrastructure

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    Serious implementations

    Not hobbyist setups or experiments

Budget Expectations

Hardware Costs

Typically $5,000 - $50,000 depending on scale and performance requirements.

Consulting Engagement

Starts at $2,500 for specifications and documentation.

Full Service Deployment

Custom quotes based on complexity. Includes hardware guidance, installation, and training.

Note: At high volumes, on-premise often pays for itself within 6-12 months compared to cloud API costs.

Schedule a Consultation

Let's discuss your requirements and determine if on-premise AI is the right fit for your organization.

Start the Conversation

No obligation. We'll tell you honestly if cloud APIs are a better fit.