C117 tok/s decode
~$15,000 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
29.5 tok/s
TTFT
6561 ms
Safe context
39K
Memory
26.0 GB / 64.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 29.5 tok/s | 9543 ms | 69K |
| Chat | C | Runs well | 29.5 tok/s | 3579 ms | 21K |
| Coding | C | Runs well | 29.5 tok/s | 6561 ms | 39K |
| RAG | C | Runs well | 29.5 tok/s | 11929 ms | 69K |
| Reasoning | C | Runs well | 29.5 tok/s | 7754 ms | 39K |
How Devstral Small 1.1 (24B params) fits at each quantization level on NVIDIA A16 64GB (64.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 9.4 GB | Low | D33 |
Q3_K_S | 3 | 11.8 GB | Low | D33 |
NVFP4 | 4 |
ollama run devstral-small-2507huggingface-cli download devstral-small-2507Upgrade options
~$15,000 MSRP
~$15,000 MSRP
~$40,000 MSRP
| 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 | D36 |
Q8_0 | 8 | 25.7 GB | Very High | D38 |
F16Best for your GPU | 16 | 49.2 GB | Maximum | C44 |