Intel Arc Pro B60 vs NVIDIA Tesla P40
For running models locally, priced in the UK. At 64k context the first runs 22 models fully in memory, the second 22.
In short
Both have 24 GB of memory for models; the Intel Arc Pro B60 has 456 GB/s of bandwidth and the NVIDIA Tesla P40 346 GB/s. At 64k context both run the same 22 models we track fully in memory. On the models both run fully in memory, the Intel Arc Pro B60 is about 1.1× as fast as the NVIDIA Tesla P40 (estimated, median across models). In the UK the Intel Arc Pro B60 costs £742 at eBay and the NVIDIA Tesla P40 £1,856 at Amazon: the Intel Arc Pro B60 is £1,114 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | Intel Arc Pro B60 | NVIDIA Tesla P40 |
|---|---|---|
| GPU | Arc Pro B60 | Tesla P40 |
| Memory | 24 GB GDDR6 | 24 GB GDDR5 |
| Memory bus | 192-bit | 384-bit |
| Memory bandwidth | 456 GB/s | 346 GB/s |
| FP16 compute | 98.5 TFLOPS | 11.8 TFLOPS |
| Software | SYCL / oneAPI | CUDA |
| Board power | 200 W | 250 W |
| PCIe generation | Gen 5 | Gen 3 |
| PCIe lanes | x8 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | Intel Arc Pro B60 | NVIDIA Tesla P40 |
|---|---|---|
| Qwen 3.8 27B | 11tok/sUD-Q4_K_M | 10tok/sUD-Q4_K_M |
| Qwen 3.6 27B | 11tok/sQ4_K_M | 9tok/sQ5_K_M |
| Qwen 3.6 35B-A3B | 39tok/sUD-Q4_K_M | 40tok/sUD-Q4_K_M |
| Qwen 3.5 27B | 11tok/sQ4_K_M | 10tok/sQ4_K_M |
| Gemma 4 26B-A4B | 26tok/sUD-Q5_K_M | 27tok/sUD-Q5_K_M |
| Qwen 3.5 35B-A3B | 39tok/sQ4_K_M | 40tok/sQ4_K_M |
| GLM 4.7 Flash | 19tok/sQ4_K_M | 20tok/sQ4_K_M |
| gpt-oss 20B | 31tok/sMXFP4 | 32tok/sMXFP4 |
| Gemma 4 12B | 16tok/sQ8_0 | 15tok/sQ8_0 |
| Qwen 3.5 9B | 19tok/sQ8_0 | 18tok/sQ8_0 |
| Gemma 3 27B | 10tok/sQ4_K_M | 10tok/sQ4_K_M |
| Ministral 3 14B | 10tok/sQ6_K | 10tok/sQ6_K |
| Qwen3 14B | 10tok/sQ6_K | 9tok/sQ6_K |
| DeepSeek R1 0528 Qwen3 8B | 12tok/sQ8_0 | 12tok/sQ8_0 |
| Qwen3 8B | 12tok/sQ8_0 | 12tok/sQ8_0 |
| Phi-4 14B | 10tok/sQ4_K_M | 9tok/sQ5_K_M |
| Qwen 3.5 4B | 34tok/sQ8_0 | 32tok/sQ8_0 |
| Ministral 3 8B | 13tok/sQ8_0 | 12tok/sQ8_0 |
| Granite 4.2 8B | 11tok/sQ8_0 | 11tok/sQ8_0 |
| Gemma 4 E4B | 23tok/sQ8_0 | 21tok/sQ8_0 |
| LFM2.5 8B-A1B | 29tok/sQ8_0 | 30tok/sQ8_0 |
| Llama 3.1 8B | 15tok/sQ6_K | 14tok/sQ6_K |
| Qwen 3.5 122B-A10B | offload | offload |
| Qwen3 Coder Next | offload | offload |
| Gemma 4 31B | offload | offload |
| Mistral Small 4 119B | offload | offload |
| Qwen3 Next 80B-A3B | offload | offload |
| Devstral Small 2 24B | offload | offload |
| Nemotron 3.5 Lightning 30B-A3B | offload | offload |
| Kimi Linear 48B-A3B | offload | offload |
| Qwen3 Coder 30B-A3B | offload | offload |
| Qwen3 32B | offload | offload |
| Mistral Small 3.2 24B | offload | offload |
| DeepSeek R1 Distill Qwen 32B | offload | offload |
| DeepSeek V4 Flash | won't run | won't run |
| GLM 5.3 Flash | won't run | won't run |
| Qwen 3.8 Flash Next | won't run | won't run |
| MiniMax M2.7 | won't run | won't run |
| Nemotron 3 Super 120B-A12B | won't run | won't run |
| gpt-oss 120B | won't run | won't run |
| GLM 4.5 Air | won't run | won't run |
| Llama 3.3 70B | won't run | won't run |
Questions
- Which is better for local AI, the Intel Arc Pro B60 or the NVIDIA Tesla P40?
- Choose the Intel Arc Pro B60 for speed. Choose the Intel Arc Pro B60 to spend less.
- Which can run bigger models, the Intel Arc Pro B60 or the NVIDIA Tesla P40?
- At 64k context both run the same 22 models we track fully in memory.
- Which is faster for local AI, the Intel Arc Pro B60 or the NVIDIA Tesla P40?
- On the models both run fully in memory, the Intel Arc Pro B60 is about 1.1× as fast as the NVIDIA Tesla P40 (estimated, median across models).
- What is the price difference between the Intel Arc Pro B60 and the NVIDIA Tesla P40?
- In the UK the Intel Arc Pro B60 costs £742 at eBay and the NVIDIA Tesla P40 £1,856 at Amazon: the Intel Arc Pro B60 is £1,114 cheaper.
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