POCKETLLM

Optimized LLM Deployment
on Dedicated CPU Instances

Enterprise-grade AI performance without expensive GPUs through advanced quantization with an OpenAI-compatible API.

How It Works

Simple 4-Step Deployment

Get your dedicated LLM API up and running in minutes

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Select Region
Choose where your LLM will be deployed
🇩🇪Nuremberg
🇫🇮Helsinki

Available Machine Type

2 vCPU x 8 GB RAM

Use Your API with Standard OpenAI Format

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curl https://api.pocketllm.dev/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer pk_live_••••••••••" \
  -d '{
    "model": "llama3.1-8b-instruct-q4",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "What are the benefits of dedicated LLM instances?"}
    ]
  }'
Benefits

Why CPU-Optimized Deployment Matters

Practical advantages that impact your bottom line and operations

Cost Savings

60-80% lower infrastructure costs compared to GPU-based solutions

Deployment Flexibility

Run advanced AI on existing hardware without specialized equipment

Simplified Operations

Easier maintenance and scaling without GPU-specific knowledge

Energy Efficiency

Lower power consumption for environmentally conscious operations

Consistent Performance

Dedicated resources ensure reliable response times

Features

Why Choose PocketLLM?

We specialize in CPU-only LLM deployments that are cost-effective and reliable.

Dedicated Environment

Your own VM with no shared resources

Isolated virtual machine for consistent performance
No resource competition with other users
Predictable response times for your applications
Full control over your deployment environment
Professional Services

On-Premise Solutions

Expert consulting and deployment services for your organization

On-Premise Deployment

Deploy PocketLLM within your own infrastructure

  • Custom Model Quantization: Optimize your preferred models for your specific hardware
  • Secure Enterprise Integration: Connect models to your existing systems with proper authentication
  • Performance Tuning: Fine-tune configurations for your specific workloads and requirements
  • Knowledge Transfer: Train your team on management and maintenance best practices
  • Ongoing Support: Technical assistance as your AI needs evolve
Contact us for a consultation on bringing powerful, cost-effective AI to your organization's infrastructure.
[email protected]