
12 GB VRAM · ~10.8 GB for a model
NVIDIA GeForce RTX 4070 12 GB
- Qwen3.5-4B~131 tok/s
- Qwen2.5-1.5B-Instruct~259 tok/s
- Qwen2.5-3B-Instruct~165 tok/s
The one spec that decides which AI models you can run at home is memory: VRAM on a graphics card, or unified memory on a Mac. Each card shows the most downloaded open models that fit and their estimated speed.
As an Amazon Associate we earn from qualifying purchases. Prices change often, so we link to Amazon instead of listing them.
For a desktop PC. VRAM decides which models fit; more of it runs bigger models.

12 GB VRAM · ~10.8 GB for a model
NVIDIA GeForce RTX 4070 12 GB

24 GB VRAM · ~21.6 GB for a model
NVIDIA GeForce RTX 3090 24 GB
Apple silicon shares one pool of unified memory between the chip and the GPU, so a model can use most of it.

24 GB unified memory · ~16.8 GB for a model
M5, 10-core GPU

32 GB unified memory · ~22.4 GB for a model
M5, 10-core GPU
Gaming laptops with NVIDIA GPUs and MacBook Pros that run local models on the go.

8 GB VRAM · ~7.2 GB for a model
NVIDIA GeForce RTX 4070 Laptop GPU 8 GB
Speeds estimated from the desktop RTX 4060; expect somewhat less on a laptop.

24 GB unified memory · ~16.8 GB for a model
M4 Pro, 20-core GPU
| Device | Type | Memory | Usable | Budget | Shop |
|---|---|---|---|---|---|
| RTX 4070 12 GB | Graphics cards | 12 GB VRAM | ~10.8 GB | Mid | Check price |
| RTX 3090 24 GB | Graphics cards | 24 GB VRAM | ~21.6 GB | Mid | Check price |
| MacBook Air with 24 GB | Macs | 24 GB unified memory | ~16.8 GB | Mid | Check price |
| MacBook Air with 32 GB | Macs | 32 GB unified memory | ~22.4 GB | Mid | Check price |
| RTX 4070 Laptop 8 GB | Powerful laptops | 8 GB VRAM | ~7.2 GB | Mid | Check price |
| MacBook Pro M4 Pro with 24 GB | Powerful laptops | 24 GB unified memory | ~16.8 GB | Mid | Check price |
Usable memory is about 70% of a Mac's unified memory and 90% of a graphics card's VRAM. Models are the most downloaded open language models on Hugging Face that fit. Speed data: ModelFit (CC BY 4.0), modelled decode estimates for a 4-bit build at a 4K context, not measured benchmarks and not an endorsement by ModelFit.
As an Amazon Associate we earn from qualifying purchases.