OLMo 2 32B needs ~34.2 GB VRAM. RTX PRO 6000 Blackwell Server Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~74 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
74.2 tok/s
TTFT
2608 ms
Safe context
4K
Memory
34.2 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 | 74.2 tok/s | 1423 ms | 4K |
| Coding | A | Runs well | 74.2 tok/s | 2608 ms | 4K |
| Agentic Coding | A | Runs well | 74.2 tok/s | 3794 ms | 4K |
| Reasoning | A | Runs well | 74.2 tok/s | 3083 ms | 4K |
| RAG | A | Runs well | 74.2 tok/s | 4743 ms | 4K |
How OLMo 2 32B (32B 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 | 12.5 GB | Low | A72 |
Q3_K_S | 3 | 15.7 GB | Low | A72 |
NVFP4 | 4 | 17.9 GB | Medium | A73 |
Q4_K_M | 4 | 19.5 GB | Medium | A73 |
Q5_K_M | 5 | 23.0 GB | High | A73 |
Q6_K | 6 | 26.2 GB | High | A74 |
Q8_0 | 8 | 34.2 GB | Very High | A76 |
F16Best for your GPU | 16 | 65.6 GB | Maximum | A80 |
Copy-paste commands to run OLMo 2 32B on your machine.
Run
lms load OLMo-2-0325-32B-Instruct && lms server startYour 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 | |
| Qwen 3.6 35B A3B | 35B | S | 170.5 tok/s | |
| Qwen 3.5 35B A3B | 35B | S | 185.4 tok/s | |
| Mistral Small 4 119B | 119B | S | 58.5 tok/s |
Yes, RTX PRO 6000 Blackwell Server Edition 96GB can run OLMo 2 32B with a A grade (Runs well). Expected decode speed: 74.2 tok/s.
OLMo 2 32B (32B parameters) requires approximately 34.2 GB of memory with Q4_K_M quantization.
The recommended quantization for OLMo 2 32B is Q4_K_M, which balances quality and memory efficiency.
On RTX PRO 6000 Blackwell Server Edition 96GB, OLMo 2 32B achieves approximately 74.2 tokens per second decode speed with a time-to-first-token of 2608ms using Q4_K_M quantization.
For coding workloads, OLMo 2 32B on RTX PRO 6000 Blackwell Server Edition 96GB receives a A grade with 74.2 tok/s and 4K context.
On RTX PRO 6000 Blackwell Server Edition 96GB, OLMo 2 32B can safely use up to 4K tokens of context. The model's official context limit is 4K, 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/olmo-2-32b-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>
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