Tesla M40 vs Apple M1 Pro for local AI
Both fit the same models we track, up to Qwen3 32B. The Tesla M40 generates about 44% faster on any model both can run, because it has 288 GB/s of memory bandwidth to the Apple M1 Pro's 200 GB/s.
Memory and bandwidth
Memory decides which models fit. Bandwidth decides how fast they generate, because every token reads the model's active weights once.
| Tesla M40 | Apple M1 Pro | |
|---|---|---|
| Memory | 12 or 24 GB VRAM | 16 or 32 GB unified memory |
| Usable for models | All 24 GB | About 21 GB of 32 GB |
| Bandwidth | 288 GB/s | 200 GB/s |
| Biggest model that fits | Qwen3 32B | Qwen3 32B |
| Best everyday pick | Qwen3 30B-A3B, ~50 tok/s | Qwen3 30B-A3B, ~35 tok/s |
Every model, side by side
Estimated generation speed at the largest memory size each was sold in (24 GB and 32 GB).
| Model | Tesla M40 | Apple M1 Pro |
|---|---|---|
| Qwen3 4B About 4 GB | ~63 tok/s Runs great | ~44 tok/s Runs great |
| Qwen3 8B About 7 GB | ~30 tok/s Runs great | ~21 tok/s Usable |
| Gemma 3 12B About 10 GB | ~20 tok/s Usable | ~14 tok/s Usable |
| Qwen3 14B About 11 GB | ~17 tok/s Usable | ~12 tok/s Usable |
| gpt-oss 20B About 16 GB | ~50 tok/s Runs great | ~35 tok/s Runs great |
| Gemma 3 27B About 19 GB | ~9 tok/s Slow | ~6 tok/s Slow |
| Qwen3 30B-A3B About 21 GB | ~50 tok/s Runs great | ~35 tok/s Runs great |
| Qwen3 32B About 22 GB | ~8 tok/s Slow | ~6 tok/s Slow |
| Llama 3.3 70B About 45 GB | Needs 45 GB | Needs 45 GB |
| gpt-oss 120B About 67 GB | Needs 67 GB | Needs 67 GB |
| Qwen3 235B-A22B About 144 GB | Needs 144 GB | Needs 144 GB |
| DeepSeek R1 671B About 406 GB | Needs 406 GB | Needs 406 GB |
The Tesla M40, for speed. They fit the same models. Price matters as much as either number: check used prices on the builds page, where every parts list has a measured or estimated speed.
Both columns use the same formula: memory bandwidth divided by the weights read per token, calibrated on our own rack, with Ollama's default 4-bit sizes. Real results are usually within about a third. Measured either one? Send us the number.