RTX PRO 5000 Blackwell 48GBBudget pickC57.8 tok/s decode
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
23.8 tok/s
TTFT
8145 ms
Safe context
23K
Memory
32.6 GB / 46.1 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 23.8 tok/s | 11847 ms | 39K |
| Chat | C | Runs well | 23.8 tok/s | 4442 ms | 12K |
| Coding | C | Runs well | 23.8 tok/s | 8145 ms | 23K |
| RAG | C | Runs well | 23.8 tok/s | 14808 ms | 39K |
| Reasoning | C | Runs well | 23.8 tok/s | 9625 ms | 23K |
How Qwen 2.5 32B (32B params) fits at each quantization level on Mac Studio M2 Ultra 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | D35 |
Q3_K_S | 3 | 15.7 GB | Low | D36 |
NVFP4 | 4 | 17.9 GB | Medium | D38 |
Q4_K_M | 4 | 19.5 GB | Medium | D38 |
Q5_K_M | 5 | 23.0 GB | High | D40 |
Q6_K | 6 | 26.2 GB | High | C41 |
Q8_0Best for your GPU | 8 | 34.2 GB | Very High | C44 |
F16 | 16 | 65.6 GB | Maximum | F0 |
ollama run qwen-2.5-32bhuggingface-cli download qwen-2.5-32bUpgrade options
RTX PRO 5000 Blackwell 48GBBudget pick
RTX 6000 Ada 48GBBiggest leap