Can I Run Devstral on NVIDIA GeForce RTX 3080 (10GB)?
Written by Jakub Rusinowski · Last updated September 11, 2026
No — Devstral 2 22B at Q4_K_M needs 15.7 GB at 8K context (13.3 GB weights + 2.4 GB KV cache/overhead), and the NVIDIA GeForce RTX 3080 (10GB)'s 10 GB leaves it ~5.7 GB short. The cheapest card that runs it is the NVIDIA GeForce RTX 4090 Laptop GPU (16 GB).
Get a personalized upgrade path →
or compare on Vast.ai from $0.35/hr (typical low · varies)
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 3080 (10GB) Specs
| VRAM | 10 GB |
| Memory Bandwidth | 760 GB/s |
Devstral 2 22B on the NVIDIA GeForce RTX 3080 (10GB): VRAM by quantization
| Quant | VRAM needed | Fits 10 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 46.4 GB | ✗ No | — | — |
| Q8_0 | 25.8 GB | ✗ No | — | — |
| Q6_K | 20.5 GB | ✗ No | — | — |
| Q5_K_M | 18 GB | ✗ No | — | — |
| Q4_K_M | 15.7 GB | ✗ No | — | — |
| Q3_K_M | 11.8 GB | ✗ No | — | — |
| Q2_K | 9.6 GB | ✓ Yes | 8K | — |
Assumes an 8K-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 10 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 3080 (10GB): 8K 15.7 GB ✗ · 32K 20.5 GB ✗ · 125K 39.2 GB ✗. Past 8K it no longer fits 10 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Devstral 2 22B on 16 GB of system RAM, CPU only: runs, but it is tight.
Why It Does Not Fit
Every Devstral variant requires more VRAM than the NVIDIA GeForce RTX 3080 (10GB) provides (10 GB).
Nearest GPU That Fits
NVIDIA GeForce RTX 4090 Laptop GPU (16 GB VRAM).
Devstral needs ~16 GB but this GPU has 10 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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 3080 (10GB) have enough VRAM for Devstral?
No — Devstral 2 22B at Q4_K_M needs 15.7 GB at 8K context (13.3 GB weights + 2.4 GB KV cache/overhead), and the NVIDIA GeForce RTX 3080 (10GB)'s 10 GB leaves it ~5.7 GB short. The cheapest card that runs it is the NVIDIA GeForce RTX 4090 Laptop GPU (16 GB).
Which GPU can actually run Devstral?
The NVIDIA GeForce RTX 4090 Laptop GPU (16 GB VRAM) is the cheapest upgrade that fits it.
Every Devstral size on the NVIDIA GeForce RTX 3080 (10GB)
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Devstral-2 123B | 77.9 GB | Does not fit | — |
| Devstral Small 2505 24B | 16.6 GB | Does not fit | — |
| Devstral Small 2 24B | 16.6 GB | Does not fit | — |
Devstral on Other GPUs
- Devstral on Intel Arc B570
- Devstral on NVIDIA GeForce RTX 5070
- Devstral on NVIDIA GeForce RTX 5060 Ti 8GB
- Devstral on NVIDIA GeForce RTX 5060
- Devstral on NVIDIA GeForce RTX 4070 Ti
Popular Models on the NVIDIA GeForce RTX 3080 (10GB)
- DeepSeek R1 on NVIDIA GeForce RTX 3080 (10GB)
- Qwen 3 on NVIDIA GeForce RTX 3080 (10GB)
- Qwen 2.5 Family on NVIDIA GeForce RTX 3080 (10GB)
VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
← Can I Run It? | Devstral Model Page | NVIDIA GeForce RTX 3080 (10GB) GPU Page | VRAM calculator | Check Your Hardware