▸ DEVICE UNDER TEST
NVIDIA Tesla P40 — 24 GB VRAM.
▸ TESLA P40 SPEC
- BRAND
- NVIDIA
- VRAM
- 24 GB GDDR5
- BANDWIDTH
- 347 GB/s
- FP16 COMPUTE
- 0.2 TFLOPS
- FP32 COMPUTE
- 11.8 TFLOPS
- CUDA CORES
- 3,840
- TDP
- 250 W
- ARCHITECTURE
- Pascal
▸ AI CAPABILITY
330/ 449 models @ Q4
With 24 GB VRAM and 347 GB/s bandwidth, this GPU handles models up to 34.4B parameters.
Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~40 tok/s.
§ 01TOP MODELS FOR TESLA P40
330 FIT · SHOWING 20| MODEL | SIZE | VRAM Q4 | TOK/S | AVG |
|---|---|---|---|---|
| Nous Capybara 34B | 34.4B | 21.5 GB | 8 | 42.0 |
| Yi-1.5 34B | 34.4B | 21.5 GB | 8 | 45.3 |
| Falcon-H1 34B | 34B | 21.3 GB | 8 | 66.1 |
| CodeLlama 34B | 34B | 21.3 GB | 8 | 25.4 |
| Nous Hermes 2 34B | 34B | 21.3 GB | 8 | 47.0 |
| Phind CodeLlama 34B | 34B | 21.3 GB | 8 | 68.1 |
| LLaVA-1.6 Yi 34B | 34B | 21.3 GB | 8 | 47.4 |
| WizardCoder Python 34B | 34B | 21.3 GB | 8 | 73.2 |
| Yi 34B | 34B | 21.3 GB | 8 | 33.4 |
| Qwen3-VL 32B Instruct | 33.36B | 20.9 GB | 8 | 44.6 |
| DeepSeek Coder 33B | 33B | 20.7 GB | 8 | 26.0 |
| Vicuna 33B | 33B | 20.7 GB | 8 | 17.2 |
| LLaMA 1 30B | 33B | 20.7 GB | 8 | 17.8 |
| DeepSeek-R1-Distill-Qwen-32B | 32.8B | 20.5 GB | 8 | 46.9 |
| Qwen3 32B | 32.8B | 20.5 GB | 8 | 54.9 |
| Gemma 4 31B | 32.68B | 20.5 GB | 8 | 53.7 |
| Qwen2.5-32B | 32.5B | 20.4 GB | 9 | 54.3 |
| Qwen 2.5 Coder 32B | 32.5B | 20.4 GB | 9 | 48.0 |
| QwQ-32B | 32.5B | 20.4 GB | 9 | 43.7 |
| Granite Switch 4.1 30B Preview | 32.24B | 20.2 GB | 9 | 36.1 |