NVIDIA GPUs
NVIDIA RTX PRO 4000 Blackwell
- Memory
- 24 GB
- Bandwidth
- 672 GB/s
Largest popular model at 4-bit: Qwen3.6 27B
24 GB in a single-slot, 140 W card: the homelab-friendly way to get 24 GB new.
AMD · AMD GPUs · 2022

Photo: Geni · CC BY-SA 4.0
24 GB and 960 GB/s: RTX 3090-class memory, bought new.
from $1,358 (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 | ≤ 865 tok/s | |
| Qwen3.5 9B | Runs | ≤ 169 tok/s | |
| Gemma 4 12B | Runs | ≤ 135 tok/s | |
| gpt-oss-20b | Runs | ≤ 480 tok/s | |
| Qwen3.6 27B | Runs | ≤ 57 tok/s | |
| Qwen3.6 35B A3B | Partly in system RAM | — | |
| 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: A new 24 GB card for Linux users who do not need CUDA.
Good if you want 24 GB new and avoid the used market.
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
24 GB in a single-slot, 140 W card: the homelab-friendly way to get 24 GB new.
Intel GPUs
Largest popular model at 4-bit: Qwen3.6 35B A3B
Intel's big Battlemage: 32 GB and 608 GB/s for less than AMD's R9700.
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.