Qwen 3.5 9B needs ~11.3 GB VRAM. Tesla P40 24GB has 24.0 GB. With Q4_K_M quantization, expect ~40 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
40.0 tok/s
TTFT
4843 ms
Safe context
109K
Memory
11.3 GB / 24.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 40.0 tok/s | 2642 ms | 109K |
| Coding | S | Runs well | 40.0 tok/s | 4843 ms | 109K |
| Agentic Coding | S | Runs well | 40.0 tok/s | 7045 ms | 109K |
| Reasoning | S | Runs well | 40.0 tok/s | 5724 ms | 109K |
| RAG | S | Runs well | 40.0 tok/s | 8806 ms | 109K |
How Qwen 3.5 9B (9B params) fits at each quantization level on Tesla P40 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | S86 |
Q3_K_S | 3 | 4.4 GB | Low | S87 |
NVFP4 | 4 |
Copy-paste commands to run Qwen 3.5 9B on your machine.
Run
ollama run qwen3.5:9bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 30.9 tok/s | ||
| 27B | S | 13.4 tok/s |
Yes, Tesla P40 24GB can run Qwen 3.5 9B with a S grade (Runs well). Expected decode speed: 40.0 tok/s.
Qwen 3.5 9B (9B parameters) requires approximately 11.3 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3.5 9B is Q4_K_M, which balances quality and memory efficiency.
On Tesla P40 24GB, Qwen 3.5 9B achieves approximately 40.0 tokens per second decode speed with a time-to-first-token of 4843ms using Q4_K_M quantization.
For coding workloads, Qwen 3.5 9B on Tesla P40 24GB receives a S grade with 40.0 tok/s and 109K context.
On Tesla P40 24GB, Qwen 3.5 9B can safely use up to 109K 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-3.5-9b-on-tesla-p40-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
5.0 GB |
| Medium |
| S87 |
Q4_K_M | 4 | 5.5 GB | Medium | S87 |
Q5_K_M | 5 | 6.5 GB | High | S88 |
Q6_K | 6 | 7.4 GB | High | S88 |
Q8_0 | 8 | 9.6 GB | Very High | S90 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | S91 |
| 27B | S | 13.4 tok/s |
| 30B | S | 31.9 tok/s |