M2 Max 64GB vs NVIDIA V100 32GB for local LLMs
20 reports on the M2 Max 64GB and 28 on the NVIDIA V100 32GB
Which is faster for local LLMs?
Nobody has reported the same model at the same quant on both cards yet, so there's no measured head-to-head. Memory bandwidth, which caps how fast a card can write, is 2.2x higher on the NVIDIA V100 32GB (410 GB/s on the M2 Max 64GB, 900 on the NVIDIA V100 32GB). The estimates below compare them on the models people run most.
M2 Max 64GB
- Memory
- 64GB unified
- Memory bandwidth
- 410 GB/s
- FP16 compute
- 13.6 TFLOPS
- Reports
- 20
NVIDIA V100 32GB
- Memory
- 32GB
- Memory bandwidth
- 900 GB/s
- FP16 compute
- 125 TFLOPS
- Reports
- 28
Estimated by the calculator
The quant the calculator recommends for each card and its estimated speed at a 32,768-token context with 32 GB of system RAM, from memory bandwidth and the model's shape.
| Model | M2 Max 64GB | NVIDIA V100 32GB |
|---|---|---|
| Qwen3.8 27B | 10.4 t/sQ8_0 | 22.6 t/sQ6_K |
| Qwen3.8 125B · 6B active | 47.5 t/sQ2_K | 19.4 t/sQ2_K, experts in RAM |
| Qwen3.6 35B · 3B active | 32.9 t/sQ8_0 | 81.9 t/sQ5_K_M |
| DeepSeek V4 Flash 284B · 13B active | doesn't fit at these settings | doesn't fit at these settings |
| Qwen3.6 27B | 10.4 t/sQ8_0 | 22.6 t/sQ6_K |
| Gemma 4 26B · 4B active | 28.2 t/sQ8_0 | 57.5 t/sQ6_K |
Change the context, RAM or model in the calculator: M2 Max 64GB · NVIDIA V100 32GB
Every report on each card, with its source: M2 Max 64GB · NVIDIA V100 32GB