Runs 8–14B models — Refurbished devices
15 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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15 devices · Runs 8–14B models
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 Precision 3560 15.6"FHD i5-1145G7 2.6GHz 32GB 256GB NVIDIA T500 Win 11 Pro
Dell
Dell Latitude 5430 14" FHD i5-1235U 1.3GHz (max 4.4 GHz) 32GB 256GB SSD W11P +PA
Lenovo
Lenovo ThinkPad E590 15.6" FHD Core i5-8265U 1.60GHz 32GB 256GB SSD Win11Pro+PA
Dell
Dell Latitude 3450 14" FHD i5-1345U 32GB 256GB SSD Windows 11 Pro WRNTY 6/27+PA
Dell
Dell Precision 3561 15.6"FHD i7-11850H 2.5GHz Nvidia T600 4GB 32GB 512GB SSD
Apple
Apple MacBook Pro 13" (2020) A2251/BTO i7-1068NG7 2.3GHz 32GB 512GB Sequoia +PA
HP
HP ZBook Power G8 15.6" FHD I7-11850H 2.5GHz 32GB 256GB Win 11Pro +Charger
Dell
Dell Precision 3561 15.6" FHD i7-11850H 2.50GHz 32GB 512GB SSD NvidiaT600 W11Pro
Dell
Dell Precision 7550 Workstation 15.6" FHD i7-10750H 2.6GHz 32GB 512GB RTX 3000
Dell
Dell Latitude 7520 15.6" FHD Touch Core i7-1185G7 3.00GHz 32GB 1TB SSD Win11Pro
Dell
Dell Latitude 7430 14" FHD TOUCH i7-1265U 1.8GHz 32GB 256GB SSD WRTY-03/2026 +PA
Dell
Dell Latitude 7520 15.6"FHD TOUCH core i7-1185G7 3GHz 32GB 1TB SSD +Charger
HP
HP 17-CN2283ST 17.3" FHD Core i3-1215U 1.20GHz 32GB 512GB SSD Win11Home+PA
How to run AI locally
Pick a device
Filter by tier, brand, or type.
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.