From 1 GPU to 8 GPUs: Complete LLM Deployment Guide for Every Budget
From 1 GPU to 8 GPUs: Complete LLM Deployment Guide for Every Budget
💡 What You Will Learn
From 1 GPU to 8 GPUs: Complete LLM Deployment Guide for Every Budget
📜 Table of Contents
Local LLM Deployment Guide
Running LLMs locally gives you privacy, zero API costs, and full control.
Quick start with Ollama
curl -fsSL https://ollama.com/install.sh | sh
ollama run qwen2.5:7b
Hardware requirements
| Model | Minimum RAM | Recommended GPU |
|---|---|---|
| 3B-7B | 8GB | RTX 3060 12GB |
| 14B | 16GB | RTX 4090 24GB |
| 30B+ | 32GB+ | Multi-GPU |
| ## API usage |
from openai import OpenAI
client = OpenAI(base_url="http://localhost:11434/v1")
response = client.chat.completions.create(
model="qwen2.5:7b",
messages=[{"role": "user", "content": "Hello"}]
)
Local LLMs in 2026 are production-ready. Start with Ollama and a 7B model.
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Written by our editorial team; tools listed here are tested or verified against public sources. Links point to official sites or GitHub repos for reference only โ no paid placements.
