How to Host Small Models on Low-Cost Hardware

You don't need an H100 to run high-quality AI. Small models like Llama 3 8B are incredibly capable when hosted correctly on low-cost hardware.

Quantization for Performance

The first step is using 4-bit or 8-bit quantization (GGUF or AWQ). This allows you to fit an 8B model into less than 8GB of VRAM, making it runnable on a standard consumer GPU or even a high-end laptop CPU with Ollama.

Choosing the Right Provider

For cloud hosting, look for providers offering older GPUs like the T4 or A10G, or even high-memory CPU instances. Combined with efficient runtimes like vLLM or SGLang, these "budget" setups can serve hundreds of requests per hour for a fraction of the cost of flagship AI APIs.