Qwen 3.5 35B A3B needs ~28.0 GB VRAM. NVIDIA A100 40GB has 40.0 GB. With Q4_K_M quantization, expect ~181 tok/s.
Operating mode
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
180.5 tok/s
TTFT
1072 ms
Safe context
131K
Memory
28.0 GB / 40.0 GB
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.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 180.5 tok/s | 585 ms | 131K |
| Coding | S | Runs well | 180.5 tok/s | 1072 ms | 131K |
| Agentic Coding | S | Runs well | 180.5 tok/s | 1560 ms | 131K |
| Reasoning | S | Runs well | 180.5 tok/s | 1267 ms | 131K |
| RAG | S | Runs well | 180.5 tok/s | 1950 ms | 131K |
How Qwen 3.5 35B A3B (35B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 13.7 GB | Low | S87 |
Q3_K_S | 3 | 17.2 GB | Low | S89 |
NVFP4 | 4 |
Copy-paste commands to run Qwen 3.5 35B A3B on your machine.
Run
ollama run qwen3.5:35b-a3bYes, NVIDIA A100 40GB can run Qwen 3.5 35B A3B with a S grade (Runs well). Expected decode speed: 180.5 tok/s.
Qwen 3.5 35B A3B (35B parameters) requires approximately 28.0 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3.5 35B A3B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA A100 40GB, Qwen 3.5 35B A3B achieves approximately 180.5 tokens per second decode speed with a time-to-first-token of 1072ms using Q4_K_M quantization.
For coding workloads, Qwen 3.5 35B A3B on NVIDIA A100 40GB receives a S grade with 180.5 tok/s and 131K context.
On NVIDIA A100 40GB, Qwen 3.5 35B A3B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/qwen-3.5-35b-a3b-on-a100-40gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
19.6 GB |
| Medium |
| S90 |
Q4_K_M | 4 | 21.3 GB | Medium | S90 |
Q5_K_M | 5 | 25.2 GB | High | S90 |
Q6_KBest for your GPU | 6 | 28.7 GB | High | S90 |
Q8_0 | 8 | 37.5 GB | Very High | F0 |
F16 | 16 | 71.8 GB | Maximum | F0 |