Qwen 2.5 32B needs ~29.4 GB VRAM. RTX 6000 Ada 48GB has 48.0 GB. With Q4_K_M quantization, expect ~40 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
43.6 tok/s
TTFT
4445 ms
Safe context
92K
Memory
29.4 GB / 48.0 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 | S | Runs well | 40.3 tok/s | 2619 ms | 92K |
| Coding | S | Runs well | 40.3 tok/s | 4801 ms | 92K |
| Agentic Coding | S | Runs well | 40.3 tok/s | 6983 ms | 92K |
| Reasoning | S | Runs well | 40.3 tok/s | 5673 ms | 92K |
| RAG | S | Runs well | 40.3 tok/s | 8728 ms | 92K |
How Qwen 2.5 32B (32B params) fits at each quantization level on RTX 6000 Ada 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | A77 |
Q3_K_S | 3 | 15.7 GB | Low | A78 |
NVFP4 | 4 |
Copy-paste commands to run Qwen 2.5 32B on your machine.
Run
ollama run qwen2.5Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 35B | S | 100 tok/s | ||
Yes, RTX 6000 Ada 48GB can run Qwen 2.5 32B with a S grade (Runs well). Expected decode speed: 40.3 tok/s.
Qwen 2.5 32B (32B parameters) requires approximately 29.4 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 2.5 32B is Q4_K_M, which balances quality and memory efficiency.
On RTX 6000 Ada 48GB, Qwen 2.5 32B achieves approximately 40.3 tokens per second decode speed with a time-to-first-token of 4801ms using Q4_K_M quantization.
For coding workloads, Qwen 2.5 32B on RTX 6000 Ada 48GB receives a S grade with 40.3 tok/s and 92K context.
On RTX 6000 Ada 48GB, Qwen 2.5 32B can safely use up to 92K 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-2.5-32b-on-rtx-6000-ada-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
17.9 GB |
| Medium |
| A79 |
Q4_K_M | 4 | 19.5 GB | Medium | A80 |
Q5_K_M | 5 | 23.0 GB | High | A81 |
Q6_K | 6 | 26.2 GB | High | A82 |
Q8_0Best for your GPU | 8 | 34.2 GB | Very High | A81 |
F16 | 16 | 65.6 GB | Maximum | F0 |
| 35B |
| S |
| 108.8 tok/s |
| 72B | A | 11.1 tok/s |
| 80B | A | 28.5 tok/s |
| 70B | A | 11.9 tok/s |