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Guide

Local AI Workstation Guide

Running Ollama & Claude-Class Models Locally

By Janiru Hansaga Feb 2026

The Shift to Local

Transitioning from cloud-based models (like Claude 3.5 Sonnet) to local execution via Ollama offers a paradigm shift in development workflows. Data privacy, zero latency, and cost elimination are the primary drivers.

🔒
Privacy
100% Offline
Latency
~0ms Network
💎
Cost
Free Inference

Compatibility Engine

Use this tool to check if your rig can handle the latest open-weights.

System Configurator

8GB
0GB 24GB 48GB+
16GB
4GB 128GB
Estimated Speed
Calculating...

Recommended Models:

Performance Lab

Local vs Cloud. Comparing DeepSeek V2 (Local) against Claude 3.5 Sonnet (Cloud).

Memory Anatomy

Setup Protocol

1. Install Core Engine

Install Ollama to handle model runtime.

curl -fsSL https://ollama.com/install.sh | sh

2. Acquisition

Pull DeepSeek Coder V2 (Lite).

ollama pull deepseek-coder-v2

3. IDE Integration

Configure 'Continue' extension in VS Code.

"models": [
  {
    "title": "Local DeepSeek",
    "provider": "ollama",
    "model": "deepseek-coder-v2"
  }
]