Refurbished Laptops & Desktops for Local AI
243 refurbished laptops, desktops & mini PCs for running Ollama, LM Studio, Llama 3, Qwen, and Mistral locally — no cloud, no API key. Ships same day from Reno, NV.
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243 devices · Laptop
Dell
Dell Latitude 5320 13.3" FHD Core i7-1185G7 3.00GHz 32GB 256GB SSD Win11Pro
Dell
Dell Latitude 5320 13.3" FHD Touch i7-1185G7 32GB 512GB SSD Win11 Pro+65W PA
Dell
Dell Latitude 7300 i5-8365U 16GB 256GB SSD 13.3" FHD Win11 Pro+65W Dell Charger
Dell
Dell Latitude 5300 13.3" Intel Core i7-8665U 1.90GHz 16GB 256GB Backlit Win11Pro
Dell
Dell Latitude 5400 14" FHD Core i5-8265U 1.6GHz 16GB 256GB SSD Windows11Pro + PA
HP
HP Laptop 14-DQ1025CL i5-1035G1 16GB 256GB SSD 14" FHD Win11 Home +45W Charger
Microsoft
MS Surface Laptop (1st Gen) 1769 13.5" 2256x1504 TOUCH i7-7660U 16GB 1TB W 10Pro
HP
HP Laptop 15-fd0082wm 15.6" HD N200 16GB 128GB UFS Windows 11 Home WRNTY 9/28+PA
Dell
Dell Latitude 7490 14" FHD Touch i7-8650U 1.90GHz 16GB 512GB SSD Windows11Pro+PA
HP
HP 250 G8 Notebook 15.6"FHD i5-1135G7 2.4GHz 16GB 256GB Win 11Pro 98% Battery
Add 16GB RAM — AI-ready total from ~$125.99
How to run AI locally
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Install Ollama
Free. ollama.com. 2 minutes.
Pull a model
ollama run llama3
Chat privately
Nothing leaves your machine.
Common questions
What laptop do I need to run Llama 3.1 locally?
To run Llama 3.1 8B comfortably, you need at least 16GB RAM. For Llama 3.1 70B, you need 32GB+ RAM or a GPU with 16GB+ VRAM. Apple Silicon MacBooks (M1/M2/M3/M4) with 16GB unified memory run 8B models at 20–40 tokens/sec with no setup beyond installing Ollama.
Can I run local AI on a laptop without a GPU?
Yes. CPU-only inference works well for 7B–8B models on any laptop with 16GB+ RAM. Expect 5–15 tokens/sec, which is readable in real time. For faster speeds, a laptop with a discrete NVIDIA GPU (6GB+ VRAM) or Apple Silicon is recommended.
How much RAM do I need to run AI models locally?
8GB RAM is the minimum — runs Phi-4 Mini and Llama 3.2 3B only. 16GB RAM runs Llama 3.1 8B and Qwen3 7B at usable speeds. 32GB runs Qwen2.5 14B and 32B Q4 models. 64GB runs 70B models at full quality.
Do desktops and mini PCs work for local AI?
Yes. A Dell OptiPlex or Intel NUC with 16GB RAM runs 7B models well. Gaming desktops with RTX GPUs (8GB+ VRAM) handle 13B–32B models at 20–50 tokens/sec.
Is Apple Silicon (M1/M2/M3/M4) good for running local AI?
Apple Silicon is excellent for local AI. Unified memory means the GPU and CPU share the same RAM pool, so a 32GB M2 Pro can offload a full 32B model to the GPU. Metal acceleration is automatic via Ollama. M1 16GB runs 8B models at 20–30 tokens/sec. M2/M3/M4 32GB runs 32B Q4 models at 15–25 tokens/sec.
How do I start after buying a device?
Install Ollama from ollama.com (free, 2 minutes). Open Terminal and run: ollama run llama3.1:8b — it downloads the model and starts automatically. For a ChatGPT-style interface, install LM Studio from lmstudio.ai. No cloud account, no subscription, no data leaving your machine.