Can I Run Devstral on NVIDIA GeForce RTX 5090?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes, comfortably — Devstral Small 2505 24B at Q4_K_M needs 16.6 GB at 8K context (14.5 GB weights + 2.1 GB KV cache/overhead), leaving ~15.4 GB of the NVIDIA GeForce RTX 5090's 32 GB, at ~82 tok/s (est.), with room for up to 64K context.
See what else this hardware can run →
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
NVIDIA GeForce RTX 5090 Specs
| VRAM | 32 GB |
| Memory Bandwidth | 1792 GB/s |
Devstral Small 2505 24B on the NVIDIA GeForce RTX 5090: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 50.1 GB | ✗ No | — | — |
| Q8_0 | 27.6 GB | ✓ Yes | 32K | — |
| Q6_K | 21.8 GB | ✓ Yes | 64K | — |
| Q5_K_M | 19.2 GB | ✓ Yes | 64K | — |
| Q4_K_M | 16.6 GB | ✓ Yes | 64K | — |
| Q3_K_M | 12.4 GB | ✓ Yes | 64K | — |
| Q2_K | 10 GB | ✓ Yes | 128K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 32 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 5090: 8K 16.6 GB · 32K 20.7 GB · 128K 36.8 GB ✗. Past 128K it no longer fits 32 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Devstral Small 2505 24B on 16 GB of system RAM, CPU only: runs, but it is tight.
Devstral Sizes That Fit the NVIDIA GeForce RTX 5090 (at 8K context)
| Devstral Small 2505 24B | Q4_K_M · 16.6 GB at 8K context · ~82 tok/s (est.) |
| Devstral Small 2 24B | Q4_K_M · 16.6 GB at 8K context · ~82 tok/s (est.) |
At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 years.
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Does the NVIDIA GeForce RTX 5090 have enough VRAM for Devstral?
Yes, comfortably — Devstral Small 2505 24B at Q4_K_M needs 16.6 GB at 8K context (14.5 GB weights + 2.1 GB KV cache/overhead), leaving ~15.4 GB of the NVIDIA GeForce RTX 5090's 32 GB, at ~82 tok/s (est.), with room for up to 64K context.
Which quantization of Devstral should I use on the NVIDIA GeForce RTX 5090?
Devstral Small 2505 24B at Q4_K_M quantization needs 16.6 GB at 8K context (14.5 GB weights + 2.1 GB KV cache/overhead), estimated ~82 tokens/sec, up to 64K context.
Every Devstral size on the NVIDIA GeForce RTX 5090
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Devstral-2 123B | 77.9 GB | Does not fit | — |
| Devstral Small 2505 24B | 16.6 GB | Runs | ~82 tok/s |
| Devstral Small 2 24B | 16.6 GB | Runs | ~82 tok/s |
Devstral on Other GPUs
- Devstral on Apple M4
- Devstral on Apple M2 Pro
- Devstral on Apple M1 Pro
- Devstral on Apple M5
- Devstral on Apple M3 Pro
Popular Models on the NVIDIA GeForce RTX 5090
- DeepSeek R1 on NVIDIA GeForce RTX 5090
- Qwen 3 on NVIDIA GeForce RTX 5090
- Qwen 2.5 Family on NVIDIA GeForce RTX 5090
VRAM Tier
Troubleshooting
Buying Guide
← Can I Run It? | Devstral Model Page | NVIDIA GeForce RTX 5090 GPU Page | VRAM calculator | Check Your Hardware