
NVIDIA GPUs
NVIDIA GeForce RTX 5090
- Memory
- 32 GB
- Bandwidth
- 1.79 TB/s
Largest popular model at 4-bit: Qwen3.6 35B A3B
The fastest consumer card for local AI: 32 GB and 1.8 TB/s make 30B-class models fly.
Apple · Apple silicon · 2026
Up to 512 GB at 1.2 TB/s: the only single box that holds DeepSeek R1 or Qwen3.5 397B at 4-bit.
from $5,499 (launch 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 | ≤ 1,081 tok/s | |
| Qwen3.5 9B | Runs | ≤ 211 tok/s | |
| Gemma 4 12B | Runs | ≤ 169 tok/s | |
| gpt-oss-20b | Runs | ≤ 600 tok/s | |
| Qwen3.6 27B | Runs | ≤ 71 tok/s | |
| Qwen3.6 35B A3B | Runs | ≤ 651 tok/s | |
| Llama 3.3 70B | Runs | ≤ 28 tok/s | |
| gpt-oss-120b | Runs, tight | ≤ 438 tok/s | |
| Qwen3.5 122B A10B | Runs | ≤ 196 tok/s | |
| Qwen3.5 397B A17B | Runs | ≤ 117 tok/s |
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.
Apple announced the 512 GB configuration for late October 2026.
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: Running the largest open models at home without a rack of GPUs.
If you need 200B+ models locally, nothing else is this simple. Otherwise the M5 Max is better value.
macOS lets the GPU use about two thirds of memory on machines with up to 36 GB, and about three quarters above that. The limit can be raised (sudo sysctl iogpu.wired_limit_mb=…), leaving less for macOS and other apps; our figures use the default.
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 35B A3B
The fastest consumer card for local AI: 32 GB and 1.8 TB/s make 30B-class models fly.

DGX Spark / GB10
Largest popular model at 4-bit: Qwen3.5 122B A10B
128 GB with CUDA in a tiny box: the NVIDIA answer to Strix Halo and the Mac.
NVIDIA GPUs
Largest popular model at 4-bit: Qwen3.5 122B A10B
96 GB on one card at RTX 5090 speed: gpt-oss-120b and 122B MoE models entirely in GPU memory.