Can Qwen 3 30B A3B run on NVIDIA H100 80GB?
YES — Runs Great
Qwen 3 30B A3B needs ~29.3 GB VRAM. NVIDIA H100 80GB has 80.0 GB. With Q4_K_M quantization, expect ~426 tok/s.
Operating mode
Choose the run profile you care about
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
425.5 tok/s
TTFT
455 ms
Safe context
131K
Memory
29.3 GB / 80.0 GB
Memory breakdown
See how fast it feels
What limits this setup
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 425.5 tok/s | 350 ms | 131K |
| Coding | S | Runs well | 425.5 tok/s | 455 ms | 131K |
| Agentic Coding | S | Runs well | 425.5 tok/s | 662 ms | 131K |
| Reasoning | S | Runs well | 425.5 tok/s | 538 ms | 131K |
| RAG | S | Runs well | 425.5 tok/s | 827 ms | 131K |
Quantization options
How Qwen 3 30B A3B (30.5B params) fits at each quantization level on NVIDIA H100 80GB (80.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.9 GB | Low | A81 |
Q3_K_S | 3 | 14.9 GB | Low | A81 |
NVFP4 | 4 | 17.1 GB | Medium | A82 |
Q4_K_M | 4 | 18.6 GB | Medium | A82 |
Q5_K_M | 5 | 22.0 GB | High | A83 |
Q6_K | 6 | 25.0 GB | High | A83 |
Q8_0 | 8 | 32.6 GB | Very High | A85 |
F16Best for your GPU | 16 | 62.5 GB | Maximum | S88 |
Get started
Copy-paste commands to run Qwen 3 30B A3B on your machine.
Run
ollama run qwen3:30b-a3bYour hardware
