NVIDIA Tesla P40
24 GB · 346 GB/s · 250 W
Prices
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No retailer in this market lists it right now.
What it runs
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @128k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Gemma 4 26B-A4B | UD-Q4_K_M | fits | 19.9 GB | 256k | 23tok/sest. | 385 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 15.7 GB | 128k | 23tok/sest. | 249 tok/s | chat, coding |
| Gemma 4 12B | Q8_0 | fits | 15.6 GB | 256k | 14tok/sest. | 160 tok/s | chat |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 14.4 GB | 256k | 16tok/sest. | 190 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 9.7 GB | 256k | 24tok/sest. | 297 tok/s | chat, coding |
| Ministral 3 8B Mistral AI | Q4_K_M | fits | 23.3 GB | 128k233k with q8 cache | 9tok/sest. | 98 tok/s | chat, coding |
| Gemma 4 E4B | Q8_0 | fits | 12.6 GB | 128k | 18tok/sest. | 267 tok/s | chat, coding |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 15.8 GB | 125k | 17tok/sest. | 357 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q5_K_M | fits | 22.8 GB | 128k | 9tok/sest. | 105 tok/s | chat, coding |
| Qwen 3.8 27B Alibaba Qwen | UD-Q4_K_M | offload | 24.9 GB | 105k184k with q8 cache | 7tok/sest. | 63 tok/s | – |
| Qwen 3.5 122B-A10B Alibaba Qwen | UD-Q2_K_XL | offload | 43.6 GB | – | 8tok/sest. | 83 tok/s | chat |
| Qwen 3.6 27B Alibaba Qwen | Q4_K_M | offload | 25.3 GB | 100k176k with q8 cache | 7tok/sest. | 62 tok/s | – |
| Gemma 4 31B | Q4_K_M | offload | 29.3 GB | 57k110k with q8 cache | 4tok/sest. | 54 tok/s | – |
| Mistral Small 4 119B Mistral AI | UD-Q2_K_XL | offload | 41.7 GB | – | 10tok/sest. | 73 tok/s | chat |
| Qwen 3.6 35B-A3B Alibaba Qwen | UD-Q4_K_M | offload | 24.6 GB | 79k124k with q8 cache | 24tok/sest. | 307 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q4_K_M | offload | 25.2 GB | 101k178k with q8 cache | 7tok/sest. | 62 tok/s | – |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q4_K_M | offload | 24.5 GB | 84k131k with q8 cache | 25tok/sest. | 308 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q4_K_M | offload | 25.1 GB | 98k169k with q8 cache | 10tok/sest. | 143 tok/s | chat, coding |
| Devstral Small 2 24B Mistral AI | Q4_K_M | offload | 34.8 GB | 57k105k with q8 cache | 3tok/sest. | 46 tok/s | – |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | offload | 34.8 GB | – | 15tok/sest. | 339 tok/s | chat, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q4_K_M | offload | 30.5 GB | – | 25tok/sest. | 203 tok/s | chat, coding |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q4_K_M | offload | 30.7 GB | 54k97k with q8 cache | 5tok/sest. | 78 tok/s | chat, coding |
| Gemma 3 27B | Q4_K_M | offload | 27.3 GB | 81k128k with q8 cache | 5tok/sest. | 73 tok/s | – |
| Mistral Small 3.2 24B Mistral AI | Q4_K_M | offload | 34.8 GB | 57k105k with q8 cache | 3tok/sest. | 46 tok/s | – |
| Ministral 3 14B Mistral AI | Q4_K_M | offload | 29.1 GB | 92k169k with q8 cache | 5tok/sest. | 66 tok/s | chat |
| Qwen3 14B Alibaba Qwen | Q4_K_M | offload | 29.8 GB | 40k | 4tok/sest. | 55 tok/s | chat |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q4_K_M | offload | 24.1 GB | 122k128k with q8 cache | 8tok/sest. | 95 tok/s | chat, coding |
| Qwen3 8B Alibaba Qwen | Q4_K_M | offload | 24.1 GB | 40k | 8tok/sest. | 95 tok/s | chat, coding |
| Phi-4 14B Microsoft | Q4_K_M | offload | 34.7 GB | 16k | 3tok/sest. | 51 tok/s | chat |
| Granite 4.2 8B IBM | Q4_K_M | offload | 26.6 GB | 108k128k with q8 cache | 6tok/sest. | 81 tok/s | chat |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 102.4 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 104.2 GB | – | – | – | – |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | won't run | 78.0 GB | – | – | – | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | won't run | 102.6 GB | – | – | – | – |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q2_K_XL | won't run | 53.5 GB | – | – | – | – |
| Qwen3 Coder Next Alibaba Qwen | Q4_K_M | won't run | 49.7 GB | – | – | – | – |
| gpt-oss 120B OpenAI | MXFP4 | won't run | 65.0 GB | – | – | – | – |
| GLM 4.5 Air Z.ai | Q2_K | won't run | 66.7 GB | – | – | – | – |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q4_K_M | won't run | 49.7 GB | – | – | – | – |
| Qwen3 32B Alibaba Qwen | Q4_K_M | won't run | 51.9 GB | 16k30k with q8 cache | – | – | – |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q4_K_M | won't run | 51.9 GB | 16k30k with q8 cache | – | – | – |
| Llama 3.3 70B Meta | Q4_K_M | won't run | 81.1 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- Tesla P40
- Memory
- 24 GB GDDR5
- Memory bus
- 384-bit
- Memory bandwidth
- 346 GB/s
- FP16 compute
- 11.8 TFLOPS
- Software
- CUDA
- Board power
- 250 W
- PCIe generation
- Gen 3
- PCIe lanes
- x16