
RTX 4060 8 GB
Budget8 GB VRAM · ~7.2 GB for a model
NVIDIA GeForce RTX 4060 8 GB
- Qwen2.5-1.5B-Instruct~164 tok/s
- Llama-3.2-1B-Instruct~185 tok/s
- gemma-3-1b-it~204 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.
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For a desktop PC. VRAM decides which models fit; more of it runs bigger models.

8 GB VRAM · ~7.2 GB for a model
NVIDIA GeForce RTX 4060 8 GB

12 GB VRAM · ~10.8 GB for a model
NVIDIA GeForce RTX 3060 12 GB

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

24 GB VRAM · ~21.6 GB for a model
NVIDIA GeForce RTX 4090 24 GB

32 GB VRAM · ~28.8 GB for a model
NVIDIA GeForce RTX 5090 32 GB
Apple silicon shares one pool of unified memory between the chip and the GPU, so a model can use most of it.

16 GB unified memory · ~11.2 GB for a model
M5, 10-core GPU

16 GB unified memory · ~11.2 GB for a model
M4

24 GB unified memory · ~16.8 GB for a model
M4

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

64 GB unified memory · ~44.8 GB for a model
M4 Max, 40-core GPU

128 GB unified memory · ~89.6 GB for a model
M4 Max, 40-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

16 GB VRAM · ~14.4 GB for a model
NVIDIA GeForce RTX 4090 Laptop GPU 16 GB
Speeds estimated from the desktop RTX 4080; expect somewhat less on a laptop.

24 GB VRAM · ~21.6 GB for a model
NVIDIA GeForce RTX 5090 Laptop GPU 24 GB
Speeds estimated from the desktop RTX 4090; expect somewhat less on a laptop.

36 GB unified memory · ~25.2 GB for a model
M5 Max, 32-core GPU

48 GB unified memory · ~33.6 GB for a model
M5 Pro, 20-core GPU

48 GB unified memory · ~33.6 GB for a model
M4 Max, 40-core GPU
| Device | Type | Memory | Usable | Budget | Shop |
|---|---|---|---|---|---|
| RTX 4060 8 GB | Graphics cards | 8 GB VRAM | ~7.2 GB | Budget | Check price |
| RTX 3060 12 GB | Graphics cards | 12 GB VRAM | ~10.8 GB | Budget | Check price |
| 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 |
| RTX 4090 24 GB | Graphics cards | 24 GB VRAM | ~21.6 GB | High-end | Check price |
| RTX 5090 32 GB | Graphics cards | 32 GB VRAM | ~28.8 GB | High-end | Check price |
| MacBook Air with 16 GB | Macs | 16 GB unified memory | ~11.2 GB | Budget | Check price |
| Mac mini with 16 GB | Macs | 16 GB unified memory | ~11.2 GB | Budget | Check price |
| Mac mini with 24 GB | Macs | 24 GB unified memory | ~16.8 GB | Budget | 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 |
| Mac Studio with 64 GB | Macs | 64 GB unified memory | ~44.8 GB | High-end | Check price |
| Mac Studio with 128 GB | Macs | 128 GB unified memory | ~89.6 GB | High-end | 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 |
| RTX 4090 Laptop 16 GB | Powerful laptops | 16 GB VRAM | ~14.4 GB | High-end | Check price |
| RTX 5090 Laptop 24 GB | Powerful laptops | 24 GB VRAM | ~21.6 GB | High-end | Check price |
| MacBook Pro with 36 GB | Powerful laptops | 36 GB unified memory | ~25.2 GB | High-end | Check price |
| MacBook Pro with 48 GB | Powerful laptops | 48 GB unified memory | ~33.6 GB | High-end | Check price |
| MacBook Pro M4 Max with 48 GB | Powerful laptops | 48 GB unified memory | ~33.6 GB | High-end | 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.
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Photo credits (Wikimedia Commons, resized): GeForce RTX 4060 graphics card: 极客湾Geekerwan, CC BY 3.0