NVIDIA GPUs
NVIDIA GeForce RTX 3090
- Memory
- 24 GB
- Bandwidth
- 936 GB/s
Largest popular model at 4-bit: Qwen3.6 27B
The homelab classic: 24 GB and 936 GB/s, bought used. Two of them make 48 GB.
NVIDIA · NVIDIA GPUs · 2025

Photo: PantheraLeo1359531 · CC BY 4.0
The fastest consumer card for local AI: 32 GB and 1.8 TB/s make 30B-class models fly.
from $4,329 (typical price)
Researched from manufacturer data and public sources; not tested by us.· Last reviewed Oct 11, 2026
Popular models at Q4_K_M with a 32K-token context. Memory needed from real model files; speed is the theoretical ceiling.
Model weightsContext cache (KV)RuntimeUsable limit (colour = verdict)
| Model | Verdict | Memory | Speed ceiling |
|---|---|---|---|
| Qwen3 1.7B | Runs | ≤ 1,614 tok/s | |
| Qwen3.5 9B | Runs | ≤ 315 tok/s | |
| Gemma 4 12B | Runs | ≤ 252 tok/s | |
| gpt-oss-20b | Runs | ≤ 895 tok/s | |
| Qwen3.6 27B | Runs | ≤ 107 tok/s | |
| Qwen3.6 35B A3B | Runs | ≤ 972 tok/s | |
| Llama 3.3 70B | Not enough memory | — | |
| gpt-oss-120b | Partly in system RAM | — | |
| Qwen3.5 122B A10B | Partly in system RAM | — | |
| Qwen3.5 397B A17B | Partly in system RAM | — |
Theoretical maximum for generating text: memory bandwidth divided by the bytes read per token. Real runs usually reach about half to three quarters of it.
Prices are editorial references (launch price and a typical street price on the date shown), not live prices. In 2026 the memory shortage has pushed many prices well above launch.
Prices are shown only if updated in the last 24 hours and may change; the retailer’s price at checkout applies. We may earn a commission from these links at no cost to you. Affiliate disclosure
Best for: Speed with 27–32B models and image or video generation, if the budget allows.
Only if speed matters more than size. For bigger models, 128 GB unified-memory machines cost less per GB.
Source: Manufacturer specifications
How well the popular local-AI tools run on it today (editorial assessment).
Measured results with their source. We never invent speeds.
No measured results yet. The table above shows the theoretical ceiling instead.
NVIDIA GPUs
Largest popular model at 4-bit: Qwen3.6 27B
The homelab classic: 24 GB and 936 GB/s, bought used. Two of them make 48 GB.
Two used cards give 48 GB for less
AMD GPUs
Largest popular model at 4-bit: Qwen3.6 35B A3B
32 GB for about a third of an RTX 5090: the cheapest new 32 GB card.
Same 32 GB for about a third of the price
Apple silicon
Largest popular model at 4-bit: Qwen3.5 122B A10B
128 GB at 614 GB/s: gpt-oss-120b and 122B MoE models at a good pace, almost silently.
Four times the memory, quieter, slower