Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026
Yes. Devstral Small 2 24B needs 14.5 GB at Q4_K_M and the NVIDIA GeForce RTX 3090 has 24 GB, leaving about 9.5 GB of headroom, at roughly 35 tok/s (estimated) with room for up to 32K of context.
See what else this hardware can run →
| Model | Devstral Small 2 24B |
| Parameters | 24B |
| Quantization | Q4_K_M |
| VRAM needed | 14.5 GB |
| NVIDIA GeForce RTX 3090 VRAM | 24 GB |
| Verdict | Runs |
| Max context | 32K |
| Estimated speed | ~35 tok/s |
| Quant | VRAM needed | Fits 24 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 49.6 GB | ✗ No | — | — |
| Q8_0 | 27.1 GB | ✗ No | — | — |
| Q6_K | 21.3 GB | ✓ Yes | 16K | — |
| Q5_K_M | 18.6 GB | ✓ Yes | 16K | — |
| Q4_K_M | 16.1 GB | ✓ Yes | 32K | — |
| Q3_K_M | 11.9 GB | ✓ Yes | 32K | — |
| Q2_K | 9.5 GB | ✓ Yes | 64K | — |
Assumes a 4K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 24 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 3090: 8K 17 GB · 32K 22 GB · 128K 42.1 GB ✗. Past 128K it no longer fits 24 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
Nothing to change — run it at Q4_K_M. If you want more capability, check whether the next size up also fits.
No compatible GPU? Devstral on 16 GB of system RAM, CPU only: runs, but it is tight.
Running Devstral Small 2 24B on this card:
At 2 hrs/day, buying (~$1,499) beats renting at $0.34/hr after about 6.1 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
All Devstral sizes on the NVIDIA GeForce RTX 3090 | Devstral Small 2 24B model page | NVIDIA GeForce RTX 3090 GPU page | Check your hardware