Upgradeable to AI — Add 16GB RAM
290 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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290 devices · MacBook · Upgradeable
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Tablet/2-in-1
Apple
Apple MacBook Air A2337 (2020) 13.3" M1 3.2GHz 8CPU/7GPU 8GB 128GB MGN63LL/A +PA
Apple
Apple MacBook Air A2337 13.3" M1 3.2GHz (2020) 8CPU/7GPU 8GB 128GB MGN63LL/A +PA
MacBook
Apple
Apple MacBook Air A2337 (2020) 13.3" M1 8CPU/7GPU 3.2GHz 8GB 128GB MGN63LL/A +PA
Lenovo
Lenovo ThinkPad X1 Carbon Gen 10 14 FHD+ 1.7GHz i5-1240P 8GB 256GB W11P Grade A-
Tablet/2-in-1Microsoft
Microsoft Surface Pro 8 1983 Intel i5-1145G7 2.60Ghz 8GB 256GB SSD Win 11 Pro /A
Apple
Apple MacBook Air 13" 2020 A2337 M1 8GB 256GB SSD WQXGA Space Gray Monterey+PA
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.