Hosting local LLM inference privately: what a CPU VPS can and can't do
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Let's be honest up front: if you want fast, cheap, high-quality generation, call an API. A CPU VPS will not beat a datacenter full of GPUs, and anyone telling you otherwise is selling something. So why self-host inference at all? One reason, and it's a good one: the model on your server never sends your prompts anywhere. What CPU inference actually looks like You can run real models on CPU with enough RAM. A 7–8B model quantized to 4-bit works. A 13B works. You can even push a 30B-class model…
1Key Takeaways
- Let's be honest up front: if you want fast, cheap, high-quality generation, call an API.
- A CPU VPS will not beat a datacenter full of GPUs, and anyone telling you otherwise is selling something.
- One reason, and it's a good one: the model on your server never sends your prompts anywhere.
- What CPU inference actually looks like You can run real models on CPU with enough RAM.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that let's be honest up front: if you want fast, cheap, high-quality generation, call an API.
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