Pixtral 12B needs ~12.6 GB VRAM. Tesla P100 16GB has 16.0 GB. With Q4_K_M quantization, expect ~59 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
63.4 tok/s
TTFT
3052 ms
Safe context
39K
Memory
12.6 GB / 16.0 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 | A | Runs well | 59.0 tok/s | 1790 ms | 39K |
| Coding | A | Runs well | 59.0 tok/s | 3281 ms | 39K |
| Agentic Coding | A | Tight fit | 59.0 tok/s | 4773 ms | 39K |
| Reasoning | A | Runs well | 59.0 tok/s | 3878 ms | 39K |
| RAG | A | Tight fit | 59.0 tok/s | 5966 ms | 39K |
How Pixtral 12B (12B params) fits at each quantization level on Tesla P100 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.7 GB | Low | A72 |
Q3_K_S | 3 | 5.9 GB | Low | A73 |
NVFP4 | 4 |
Copy-paste commands to run Pixtral 12B on your machine.
Run
ollama run pixtralYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 14B | S | 54.6 tok/s | ||
| 14.7B | S | 51.8 tok/s |
Yes, Tesla P100 16GB can run Pixtral 12B with a A grade (Runs well). Expected decode speed: 59.0 tok/s.
Pixtral 12B (12B parameters) requires approximately 12.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Pixtral 12B is Q4_K_M, which balances quality and memory efficiency.
On Tesla P100 16GB, Pixtral 12B achieves approximately 59.0 tokens per second decode speed with a time-to-first-token of 3281ms using Q4_K_M quantization.
For coding workloads, Pixtral 12B on Tesla P100 16GB receives a A grade with 59.0 tok/s and 39K context.
On Tesla P100 16GB, Pixtral 12B can safely use up to 39K 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/pixtral-12b-on-tesla-p100-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
6.7 GB |
| Medium |
| A74 |
Q4_K_M | 4 | 7.3 GB | Medium | A75 |
Q5_K_M | 5 | 8.6 GB | High | A75 |
Q6_KBest for your GPU | 6 | 9.8 GB | High | A75 |
Q8_0 | 8 | 12.8 GB | Very High | F0 |
F16 | 16 | 24.6 GB | Maximum | F0 |
| 21B | A | 46.4 tok/s |
| 14B | S | 54.4 tok/s |
| 22B | A | 18 tok/s |