This page answers Qwen Qwen3 Next 80B A3b Thinking fp16 queries with explicit calculations from our model requirement dataset and compatibility speed table.
Short answer: Qwen Qwen3 Next 80B A3b Thinking typically needs around 160GB VRAM at FP16, and 192GB is safer for smoother usage.
Exact FP16 requirement from model requirement data.
Throughput data below uses available compatibility measurements/estimates and is sorted by tokens per second for this model.
Need general guidance? Review full methodology.
| GPU | VRAM | Quantization | Speed | Compatibility | Buy |
|---|---|---|---|---|---|
| AMD Instinct MI300X | 192GB | FP16 | 58 tok/s | View full compatibility | Buy options |
| NVIDIA H200 SXM 141GB | 141GB | FP16 | 52 tok/s | View full compatibility | Buy options |
| NVIDIA H100 SXM5 80GB | 80GB | FP16 | 38 tok/s | View full compatibility | Buy options |
| AMD Instinct MI250X | 128GB | FP16 | 36 tok/s | View full compatibility | Buy options |
| NVIDIA H100 PCIe 80GB | 80GB | FP16 | 24 tok/s | View full compatibility | Buy options |
| RTX 5090 | 32GB | FP16 | 23 tok/s | View full compatibility | Buy options |
| NVIDIA A100 80GB SXM4 | 80GB | FP16 | 22 tok/s | View full compatibility | Buy options |
| AMD Instinct MI210 | 64GB | FP16 | 18 tok/s | View full compatibility | Buy options |
| NVIDIA A100 40GB PCIe | 40GB | FP16 | 17 tok/s | View full compatibility | Buy options |
| RTX 4090 | 24GB | FP16 | 14 tok/s | View full compatibility | Buy options |
| NVIDIA RTX 6000 Ada | 48GB | FP16 | 14 tok/s | View full compatibility | Buy options |
| NVIDIA L40 | 48GB | FP16 | 13 tok/s | View full compatibility | Buy options |
Qwen Qwen3 Next 80B A3b Thinking at FP16 is estimated to require about 160GB VRAM minimum, with 192GB recommended for smoother operation.
Start with AMD Instinct MI300X, NVIDIA H200 SXM 141GB, NVIDIA H100 SXM5 80GB and review each compatibility page for full speed and fit details.
FP16 is a balance point between memory usage and quality. If your GPU is below 160GB, consider lower-bit quantization; if you have extra VRAM, compare Q8/FP16 options for quality-sensitive workloads.