Devstral 2 123B Instruct needs ~90.9 GB VRAM. RTX PRO 6000 Blackwell Workstation Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~22 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
Tight fit
Decode
21.8 tok/s
TTFT
8873 ms
Safe context
31K
Memory
90.9 GB / 96.0 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Tight fit | 21.8 tok/s | 4840 ms | 31K |
| Coding | S | Tight fit | 21.8 tok/s | 8873 ms | 31K |
| Agentic Coding | S | Runs with offload (needs ~0.2 GB host RAM) | 16.6 tok/s | 16976 ms | 31K |
| Reasoning | S | Tight fit | 21.8 tok/s | 10487 ms | 31K |
| RAG | S | Runs with offload (needs ~0.2 GB host RAM) | 16.6 tok/s | 21220 ms | 31K |
How Devstral 2 123B Instruct (123B params) fits at each quantization level on RTX PRO 6000 Blackwell Workstation Edition 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 48.0 GB | Low | S91 |
Q3_K_S | 3 | 60.3 GB | Low | S91 |
NVFP4 | 4 | 68.9 GB | Medium | S91 |
Q4_K_MBest for your GPU | 4 | 75.0 GB | Medium | S91 |
Q5_K_M | 5 | 88.6 GB | High | F0 |
Q6_K | 6 | 100.9 GB | High | F0 |
Q8_0 | 8 | 131.6 GB | Very High | F0 |
F16 | 16 | 252.2 GB | Maximum | F0 |
Copy-paste commands to run Devstral 2 123B Instruct on your machine.
Run
lms load Devstral-2-123B-Instruct-2512 && lms server startYes, RTX PRO 6000 Blackwell Workstation Edition 96GB can run Devstral 2 123B Instruct with a S grade (Tight fit). Expected decode speed: 21.8 tok/s.
Devstral 2 123B Instruct (123B parameters) requires approximately 90.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Devstral 2 123B Instruct is Q4_K_M, which balances quality and memory efficiency.
On RTX PRO 6000 Blackwell Workstation Edition 96GB, Devstral 2 123B Instruct achieves approximately 21.8 tokens per second decode speed with a time-to-first-token of 8873ms using Q4_K_M quantization.
For coding workloads, Devstral 2 123B Instruct on RTX PRO 6000 Blackwell Workstation Edition 96GB receives a S grade with 21.8 tok/s and 31K context.
On RTX PRO 6000 Blackwell Workstation Edition 96GB, Devstral 2 123B Instruct can safely use up to 31K tokens of context. The model's official context limit is 256K, but available memory constrains the safe maximum.
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Paste this snippet into any page to show a live fit card.
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Preview: