FREE Forever Local Agentic Coding with NVIDIA RTX 4060 Ti 16GB and Qwen3.5:9B
🎉 100% FREE • Completely OFFLINE • GPU-Powered • No API Keys Required
Imagine having a powerful AI coding assistant that runs entirely on your local machine - no API costs ever, no internet required, complete privacy, and blazing fast responses. With PS Smart Agent, Ollama, and an NVIDIA RTX 4060 Ti 16GB, this is now a reality.
📥 Download Now - It’s FREE!
Direct Link: VS Code Marketplace - PS Smart Agent
Why This Setup is Remarkable
The combination of RTX 4060 Ti 16GB and Qwen3.5:9B creates an ideal environment for FREE FOREVER agentic coding:
| Component | Benefit |
|---|---|
| RTX 4060 Ti 16GB VRAM | Fits Qwen3.5:9B comfortably with room for context |
| Qwen3.5:9B | Excellent code generation, supports tools, fast inference |
| PS Smart Agent | Full agentic capabilities - read, write, execute |
| Local Ollama | Zero API costs forever, complete privacy, offline capable |
💰 Cost Comparison
| Option | Monthly Cost | Annual Cost | Privacy |
|---|---|---|---|
| PS Smart Agent + Local Ollama | $0 | $0 | 100% Private |
| GPT-4 API (heavy use) | $50-200 | $600-2400 | Data sent to cloud |
| Claude API (heavy use) | $50-200 | $600-2400 | Data sent to cloud |
| GitHub Copilot | $10-20 | $120-240 | Code analyzed in cloud |
With PS Smart Agent, you pay NOTHING after the initial GPU investment!
Hardware Requirements
Minimum for This Setup
- GPU: NVIDIA RTX 4060 Ti 16GB (or similar 16GB+ VRAM card)
- RAM: 32GB system RAM recommended
- Storage: 20GB+ for models
- CPU: Modern multi-core processor
Why 16GB VRAM Matters
The Qwen3.5:9B model requires approximately 6-7GB VRAM in 4-bit quantization. With 16GB VRAM:
- Model loads with comfortable headroom
- Large context windows (up to 32K tokens)
- Multiple models can be kept ready
- No out-of-memory errors during complex operations
Installation Guide
Step 1: Install NVIDIA Drivers
Ensure you have the latest NVIDIA drivers installed:
# Check NVIDIA driver version
nvidia-smi
# Should show driver version 535+ for best performance
Step 2: Install Ollama with GPU Support
# Windows - Download from https://ollama.ai/download
# Run the installer (GPU support is automatic)
# Linux
curl -fsSL https://ollama.ai/install.sh | sh
Verify GPU is detected:
# Run a quick test
ollama run qwen3.5:9B "Hello, are you running on GPU?"
# Check GPU utilization in another terminal
nvidia-smi
Step 3: Pull Qwen3.5:9B
# Pull the model
ollama pull qwen3.5:9B
# Verify installation
ollama list
Step 4: Install PS Smart Agent - FREE!
Option A: From VS Code Marketplace (Recommended)
- Open VS Code
- Go to Extensions (
Ctrl+Shift+X) - Search for “PS Smart Agent”
- Click Install
- It’s completely FREE!
Option B: Direct Marketplace Link
Visit: https://marketplace.visualstudio.com/items?itemName=PyShine.smart-agent
Configuration
🔧 Local Setup (GPU on Same Machine)
- Open PS Smart Agent from the sidebar
- Click “Configure Provider” or go to Settings
- Configure:
| Setting | Value |
|---|---|
| API Provider | Ollama |
| Base URL | http://localhost:11434 |
| Model | qwen3.5:9B |
- Click Test Connection to verify
- Select your model from the dropdown
🌐 Remote Setup (GPU Server on Same WiFi)
Perfect for: Using a powerful GPU server from a lightweight laptop on the same network!
On the GPU Server (where Ollama runs):
# Set Ollama to accept connections from network
OLLAMA_HOST=0.0.0.0:11434 ollama serve
# Or set permanently (Windows PowerShell)
$env:OLLAMA_HOST="0.0.0.0:11434"
ollama serve
Find the Server IP Address:
On Windows:
ipconfig
# Look for "IPv4 Address" under your WiFi/Ethernet adapter
# Example: 192.168.31.73
On Linux/macOS:
ip addr show
# or
ifconfig | grep inet
# Example: 192.168.31.73
On Your Development Machine (Client):
- Open PS Smart Agent Settings
- Configure:
| Setting | Value |
|---|---|
| API Provider | Ollama |
| Base URL | http://192.168.31.73:11434 (replace with your server IP) |
| Model | qwen3.5:9B |
- Click Test Connection
- Select your model
That’s it! Now you can use the powerful GPU server from any machine on your WiFi network!
Verify Tool Support
Qwen3.5:9B supports tools natively. In PS Smart Agent:
- Look for the green “tools” badge next to the model
- This confirms full agentic capabilities
Performance Benchmarks
On RTX 4060 Ti 16GB with Qwen3.5:9B:
| Metric | Value |
|---|---|
| Model Load Time | ~3 seconds |
| Tokens/Second | 35-50 t/s |
| Time to First Token | <1 second |
| Context Window | 32K tokens |
| VRAM Usage | ~7GB |
| Cost | $0 forever |
Agentic Coding Examples
Example 1: Create a New Feature
User: Create a REST API endpoint for user authentication with JWT tokens
PS Smart Agent will:
- Read your existing codebase structure
- Create appropriate files (routes, controllers, middleware)
- Write the authentication logic
- Add error handling
- Create tests
Example 2: Debug and Fix
User: The login function is returning 500 errors, find and fix the issue
PS Smart Agent will:
- Read the login function code
- Analyze error logs
- Identify the bug
- Implement a fix
- Test the solution
Example 3: Refactor Code
User: Refactor the payment module to use the repository pattern
PS Smart Agent will:
- Understand current architecture
- Create repository interfaces
- Implement repositories
- Update existing code to use repositories
- Maintain backward compatibility
Tips for Best Results
Optimize GPU Performance
# Set GPU layers (auto-detected, but can be adjusted)
# Create a Modelfile for custom settings
ollama show qwen3.5:9B --modelfile > Modelfile
# Edit Modelfile to add:
# PARAMETER num_gpu 99
# Create custom model
ollama create qwen3.5-custom -f Modelfile
Context Window Management
For large codebases:
- PS Smart Agent uses semantic search to find relevant code
- Only relevant portions are sent to the model
- 32K context window handles most tasks
Temperature Settings
For coding tasks, lower temperature produces better results:
- Code generation: 0.1 - 0.3
- Creative solutions: 0.4 - 0.6
- Debugging: 0.0 - 0.2
Comparison: Local vs Cloud
| Feature | Local (RTX 4060 Ti) | Cloud (API) |
|---|---|---|
| Cost | FREE forever | $0.01-0.03 per 1K tokens |
| Privacy | 100% private | Data sent to cloud |
| Speed | 35-50 t/s | Varies by provider |
| Offline | ✅ Yes | ❌ No |
| Rate limits | None | Yes |
| Availability | Always | Depends on service |
| API Keys | Not needed | Required |
Cost Analysis
Running Qwen3.5:9B locally on RTX 4060 Ti 16GB:
| Item | Cost |
|---|---|
| RTX 4060 Ti 16GB | ~$500 (one-time) |
| Electricity (100W avg) | ~$0.02/hour |
| API equivalent (GPT-4) | ~$0.50-2.00/hour |
| PS Smart Agent | FREE |
Break-even: ~300-500 hours of coding
For active developers, the card pays for itself in months while providing:
- Unlimited usage forever
- Complete privacy
- No rate limits
- Offline capability
- Zero ongoing costs
Troubleshooting
Model Not Using GPU
# Check if GPU is being used
nvidia-smi
# While running a query, you should see:
# - GPU utilization spike
# - Memory usage increase
# If not using GPU, reinstall Ollama with CUDA support
Remote Connection Issues
# Test connection from client machine
curl http://192.168.31.73:11434/api/tags
# Should return JSON with models list
# If connection refused:
# 1. Ensure OLLAMA_HOST=0.0.0.0:11434 is set on server
# 2. Check firewall allows port 11434
# 3. Verify both machines are on same WiFi network
Out of Memory Errors
# Check VRAM usage
nvidia-smi
# Close other GPU applications
# Reduce context window if needed
# Or use a smaller quantization
ollama pull qwen3.5:4B
Slow Performance
# Ensure GPU is being used (not CPU)
# Check for thermal throttling
nvidia-smi -q -d TEMPERATURE
# Clean up old models
ollama rm unused-model
Advanced: Multi-Model Setup
With 16GB VRAM, you can have multiple models ready:
# Pull multiple models
ollama pull qwen3.5:9B # Main coding model
ollama pull llama3.2:3B # Quick tasks
ollama pull nomic-embed-text # Embeddings for search
# Switch between them in PS Smart Agent
Conclusion
The combination of NVIDIA RTX 4060 Ti 16GB and Qwen3.5:9B through PS Smart Agent creates a powerful, private, and 100% FREE agentic coding environment. You get:
- ✅ Professional-grade AI coding assistant
- ✅ Zero ongoing API costs - FREE FOREVER
- ✅ Complete code privacy - nothing leaves your machine
- ✅ Offline capability - works without internet
- ✅ Fast, responsive performance on your GPU
- ✅ Full agentic capabilities (read, write, execute)
- ✅ Remote server support - use GPU server from any device on WiFi
This setup democratizes AI-powered development, making it accessible to anyone with a mid-range GPU. No more API keys, no more usage limits, no more privacy concerns, no more monthly fees - just pure, powerful AI assistance running on your own hardware.
🚀 Get Started Today - It’s FREE!
Step 1: Download PS Smart Agent
Direct Link: VS Code Marketplace - PS Smart Agent
Step 2: Install Ollama
Visit: ollama.ai
Step 3: Pull Qwen3.5:9B
ollama pull qwen3.5:9B
Step 4: Start Coding!
Open PS Smart Agent in VS Code and begin your FREE forever agentic coding journey!
For more tutorials and guides, visit pyshine.com
