SMB Solutions

Self-Hosted Language ModelsFor Small & Medium Businesses

Harness the power of AI language models within your own infrastructure. Complete data privacy, predictable costs, and customized to your business needs.

100% Data Privacy
Predictable Costs
Fully Customizable

Why SMBs Choose Self-Hosted Language Models

Take control of your AI capabilities with solutions designed specifically for small and medium-sized businesses.

Complete Data Privacy

Your sensitive business and customer data never leaves your infrastructure. All processing happens on your servers, ensuring compliance with privacy regulations like GDPR and CCPA.

Predictable Cost Structure

Eliminate unpredictable usage-based billing from cloud AI services. With self-hosted models, you make a one-time investment in hardware and enjoy unlimited usage without ongoing API fees.

Customization & Control

Tailor language models to your specific business domain, industry terminology, and company voice. Create specialized AI capabilities that understand your unique business context.

Enhanced Security

Implement your own security protocols and access controls. Keep your proprietary business intelligence, customer information, and competitive strategies completely secure.

Consistent Performance

Avoid service disruptions, API throttling, or performance fluctuations common with cloud services. Your AI capabilities remain consistently available regardless of external factors.

Competitive Advantage

Leverage AI capabilities typically only available to larger enterprises. Create unique, AI-enhanced products and services that differentiate your business in the marketplace.

SMB Applications

Discover how self-hosted language models can transform various aspects of your small or medium-sized business.

Customer Service Automation

Deploy intelligent chatbots and virtual assistants that understand customer inquiries and provide accurate, helpful responses while keeping all customer data private and secure within your infrastructure.

Key Benefits

  • 24/7 customer support without increasing staff costs
  • Consistent responses across all customer interactions
  • Seamless escalation to human agents when needed
  • Complete privacy of customer conversations

Real-World Example

A regional retail chain implemented a self-hosted chatbot on their website and reduced customer service inquiries by 45%, while maintaining a 92% customer satisfaction rate.

Customer Service Automation
SMB Solution

Customer Service Automation

Why Self-Hosted for This Use Case

  • Sensitive business data never leaves your network
  • Customized to your specific industry terminology
  • No per-query costs for high-volume usage

Technical Considerations

Everything you need to know about implementing self-hosted language models in your business.

Hardware Options

Entry Level
  • Standard desktop/server with 16GB RAM
  • Mid-range GPU (8GB VRAM)
  • 500GB SSD storage
Ideal for:

Small businesses with basic LLM needs

Supported models: Smaller open-source models (7B parameters)
Mid-Range
  • Server with 32-64GB RAM
  • High-end consumer GPU (16GB+ VRAM)
  • 1TB SSD storage
Ideal for:

Medium businesses with moderate usage

Supported models: Medium-sized models (13B-30B parameters)
Enterprise
  • High-performance server with 128GB+ RAM
  • Multiple professional GPUs (24GB+ VRAM each)
  • 2TB+ SSD storage in RAID configuration
Ideal for:

Larger SMBs with intensive LLM applications

Supported models: Larger models (70B+ parameters)

Software Solutions

Open Source Models
Examples:
Llama 2/3
Mistral
Falcon
MPT
Benefits:
  • Free to use and modify
  • Transparent operation
  • Community support
Deployment Frameworks
Examples:
LlamaIndex
LangChain
Ollama
vLLM
Benefits:
  • Simplified deployment
  • Integration capabilities
  • Performance optimization
User Interfaces
Examples:
Text Generation WebUI
LM Studio
Flowise
Custom web interfaces
Benefits:
  • User-friendly operation
  • Visual workflow creation
  • Customizable to your needs

Deployment Considerations

Infrastructure
  • On-premises servers or private cloud
  • Networking and security requirements
  • Backup and redundancy planning
Integration
  • API connections to existing systems
  • Authentication and access control
  • Data pipeline configuration
Maintenance
  • Regular model updates and fine-tuning
  • Performance monitoring and optimization
  • Security patches and updates

Not sure what you need? Our experts will guide you through the options.

Cloud vs. Self-Hosted Comparison

Understanding the key differences between cloud-based AI services and self-hosted language models.

CategoryCloud-Based AISelf-Hosted LLMs
Data Privacy & Security
Low
  • Data typically leaves your environment
  • Potential exposure to third parties
  • Limited control over data handling
High
  • Data never leaves your infrastructure
  • Complete control over security measures
  • Compliance with industry regulations
Cost Structure
Variable
  • Subscription or pay-per-use model
  • Costs increase with usage volume
  • Potential for unexpected billing
Fixed
  • One-time hardware investment
  • Predictable fixed costs
  • No usage-based pricing
Customization
Limited
  • Limited to provider's offerings
  • Standardized models and features
  • Adaptation constraints
Extensive
  • Full control over model selection
  • Ability to fine-tune for specific needs
  • Custom integrations with your systems
Implementation Complexity
Low
  • Quick setup with minimal technical knowledge
  • Managed infrastructure
  • Provider handles maintenance
Higher
  • Requires technical expertise
  • Hardware setup and configuration
  • Ongoing maintenance responsibility
Best For
  • Occasional or sporadic AI usage
  • Non-sensitive, public data processing
  • Businesses with minimal IT resources
  • Regular, high-volume AI usage
  • Businesses handling sensitive data
  • Companies needing specialized AI capabilities

Our Implementation Process

A structured approach to implementing self-hosted language models in your business.

1

Assessment & Planning

We evaluate your business needs, use cases, and existing infrastructure to create a tailored implementation plan.

2

Infrastructure Setup

We configure the necessary hardware and software environment to support your self-hosted language models.

3

Model Selection & Deployment

We help you select and deploy the right language models based on your specific business requirements.

4

Integration & Customization

We integrate the LLM with your existing systems and customize it to understand your business context.

5

Training & Handover

We train your team on system management and provide comprehensive documentation for ongoing operations.

Typical implementation timeframe: 3-6 weeks depending on complexity

Frequently Asked Questions

Common questions about self-hosted language models for small and medium-sized businesses.

Have more questions about self-hosted language models?

Ready to Bring AI In-House?

Take control of your AI capabilities with self-hosted language models tailored to your business needs.