NVIDIA A100 80GBBudget pickC117 tok/s decode
~$15,000 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
24.2 tok/s
TTFT
7986 ms
Safe context
37K
Memory
30.0 GB / 69.1 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 24.2 tok/s | 11616 ms | 66K |
| Chat | C | Runs well | 24.2 tok/s | 4356 ms | 20K |
| Coding | C | Runs well | 24.2 tok/s | 7986 ms | 37K |
| RAG | C | Runs well | 24.2 tok/s | 14520 ms | 66K |
| Reasoning | C | Runs well | 24.2 tok/s | 9438 ms | 37K |
How Devstral Small 1.1 (24B params) fits at each quantization level on MacBook Pro M4 Max 96GB (69.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 9.4 GB | Low | D32 |
Q3_K_S | 3 | 11.8 GB | Low | D33 |
NVFP4 | 4 |
ollama run devstral-small-2507huggingface-cli download devstral-small-2507Upgrade options
NVIDIA A100 80GBBudget pick~$15,000 MSRP
~$15,000 MSRP
NVIDIA A800 80GBBiggest leap
13.4 GB |
| Medium |
| D34 |
Q4_K_M | 4 | 14.6 GB | Medium | D34 |
Q5_K_M | 5 | 17.3 GB | High | D35 |
Q6_K | 6 | 19.7 GB | High | D35 |
Q8_0 | 8 | 25.7 GB | Very High | D37 |
F16Best for your GPU | 16 | 49.2 GB | Maximum | C44 |