Qwen 2.5 72B needs ~59.6 GB VRAM. RTX PRO 6000 Blackwell Server Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~33 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
33.2 tok/s
TTFT
5828 ms
Safe context
131K
Memory
59.6 GB / 96.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 33.2 tok/s | 3179 ms | 131K |
| Coding | A | Runs well | 33.2 tok/s | 5828 ms | 131K |
| Agentic Coding | A | Runs well | 33.2 tok/s | 8478 ms | 131K |
| Reasoning | A | Runs well | 33.2 tok/s | 6888 ms | 131K |
| RAG | A | Runs well | 33.2 tok/s | 10597 ms | 131K |
How Qwen 2.5 72B (72B params) fits at each quantization level on RTX PRO 6000 Blackwell Server Edition 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 28.1 GB | Low | A73 |
Q3_K_S | 3 | 35.3 GB | Low | A75 |
NVFP4 | 4 | 40.3 GB | Medium | A76 |
Q4_K_M | 4 | 43.9 GB | Medium | A77 |
Q5_K_M | 5 | 51.8 GB | High | A79 |
Q6_K | 6 | 59.0 GB | High | A79 |
Q8_0Best for your GPU | 8 | 77.0 GB | Very High | A79 |
F16 | 16 | 147.6 GB | Maximum | F0 |
Copy-paste commands to run Qwen 2.5 72B on your machine.
Run
ollama run qwen2.5:72bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Devstral 2 123B Instruct | 123B | S | 19.4 tok/s | |
 Qwen 3.5 122B A10B | 122B | S | 53.9 tok/s | |
| Mistral Small 4 119B | 119B | S | 58.5 tok/s | |
 GPT-OSS 120B | 117B | S | 20.4 tok/s | |
 Command A 111B | 111B | S | 21.6 tok/s |
Yes, RTX PRO 6000 Blackwell Server Edition 96GB can run Qwen 2.5 72B with a A grade (Runs well). Expected decode speed: 33.2 tok/s.
Qwen 2.5 72B (72B parameters) requires approximately 59.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 2.5 72B is Q4_K_M, which balances quality and memory efficiency.
On RTX PRO 6000 Blackwell Server Edition 96GB, Qwen 2.5 72B achieves approximately 33.2 tokens per second decode speed with a time-to-first-token of 5828ms using Q4_K_M quantization.
For coding workloads, Qwen 2.5 72B on RTX PRO 6000 Blackwell Server Edition 96GB receives a A grade with 33.2 tok/s and 131K context.
On RTX PRO 6000 Blackwell Server Edition 96GB, Qwen 2.5 72B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/qwen-2.5-72b-on-rtx-pro-6000-blackwell-server-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: