Qwen 3.5 27B needs ~24.8 GB VRAM. NVIDIA A100 40GB has 40.0 GB. With Q4_K_M quantization, expect ~79 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
85.7 tok/s
TTFT
2260 ms
Safe context
92K
Memory
24.8 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 | 85.7 tok/s | 1233 ms | 92K |
| Coding | S | Runs well | 79.3 tok/s | 2441 ms | 92K |
| Agentic Coding | S | Runs well | 85.7 tok/s | 3288 ms | 92K |
| Reasoning | S | Runs well | 85.7 tok/s | 2671 ms | 92K |
| RAG | S | Runs well | 85.7 tok/s | 4110 ms | 92K |
How Qwen 3.5 27B (27B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 10.5 GB | Low | S87 |
Q3_K_S | 3 | 13.2 GB | Low | S88 |
NVFP4 | 4 |
Copy-paste commands to run Qwen 3.5 27B on your machine.
Run
ollama run qwen3.5:27bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 197.5 tok/s |
Yes, NVIDIA A100 40GB can run Qwen 3.5 27B with a S grade (Runs well). Expected decode speed: 79.3 tok/s.
Qwen 3.5 27B (27B parameters) requires approximately 24.8 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3.5 27B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA A100 40GB, Qwen 3.5 27B achieves approximately 79.3 tokens per second decode speed with a time-to-first-token of 2441ms using Q4_K_M quantization.
For coding workloads, Qwen 3.5 27B on NVIDIA A100 40GB receives a S grade with 79.3 tok/s and 92K context.
On NVIDIA A100 40GB, Qwen 3.5 27B can safely use up to 92K 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-3.5-27b-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:
| Medium |
| S89 |
Q4_K_M | 4 | 16.5 GB | Medium | S89 |
Q5_K_M | 5 | 19.4 GB | High | S91 |
Q6_K | 6 | 22.1 GB | High | S91 |
Q8_0Best for your GPU | 8 | 28.9 GB | Very High | S91 |
F16 | 16 | 55.4 GB | Maximum | F0 |