Qwen 372B parameters
Hardware for Running Qwen 3 72B Locally
Enterprise-grade multilingual generation, complex reasoning, agentic workflows. Below you'll find VRAM requirements at different quantization levels and our recommended GPUs at every budget.
VRAM Requirements
| Precision | VRAM Required | Notes |
|---|---|---|
| FP16 (full precision) | 144 GB | Best quality, highest VRAM usage |
| Q8 (8-bit quantized) | 77 GB | Near-lossless quality, good balance |
| Q4 (4-bit quantized) | 42 GB | Smallest footprint, slight quality loss |
Budget Picks
This model requires more VRAM than budget GPUs typically offer. Consider mid-range or premium options below.
Mid-Range Picks
NVIDIA GeForce RTX 4090
$1,599 – $1,999
- VRAM: 24GB GDDR6X
- CUDA Cores: 16,384
- Memory Bandwidth: 1,008 GB/s
Premium Picks
NVIDIA GeForce RTX 5090
$1,999 – $2,199
- VRAM: 32GB GDDR7
- CUDA Cores: 21,760
- Memory Bandwidth: 1,792 GB/s
NVIDIA A100 80GB PCIe
$12,000 – $15,000
- VRAM: 80GB HBM2e
- Tensor Cores: 432 (3rd Gen)
- Memory Bandwidth: 2,039 GB/s
Compatible Tools
Software you can use to run Qwen 3 72B on your hardware:
llama.cppvLLMTGI
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