Can I Run Gemma 3 on NVIDIA GeForce RTX 3080 (10GB)?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, but it's tight — Gemma 3 12B Instruct at Q4_K_M needs 9.1 GB at 8K context (7.2 GB weights + 1.9 GB KV cache/overhead), leaving ~0.9 GB of the NVIDIA GeForce RTX 3080 (10GB)'s 10 GB, at ~52 tok/s (est.), with room for up to 16K context.
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NVIDIA GeForce RTX 3080 (10GB) Specs
| VRAM | 10 GB |
| Memory Bandwidth | 760 GB/s |
Gemma 3 12B Instruct on the NVIDIA GeForce RTX 3080 (10GB): VRAM by quantization
| Quant | VRAM needed | Fits 10 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 25.8 GB | ✗ No | — | — |
| Q8_0 | 14.6 GB | ✗ No | — | Build for this |
| Q6_K | 11.7 GB | ✗ No | — | — |
| Q5_K_M | 10.3 GB | ✗ No | — | Build for this |
| Q4_K_M | 9.1 GB | ✓ Yes | 16K | Build for this |
| Q3_K_M | 7 GB | ✓ Yes | 32K | — |
| Q2_K | 5.8 GB | ✓ Yes | 64K | — |
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 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 9.1 GB · 32K 10.7 GB ✗ · 128K 17.1 GB ✗. Past 32K 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? Gemma 3 12B Instruct on 16 GB of system RAM, CPU only: runs, but it is tight.
Gemma 3 Sizes That Fit the NVIDIA GeForce RTX 3080 (10GB) (at 8K context)
| Gemma 3 12B Instruct | Q4_K_M · 9.1 GB at 8K context · ~52 tok/s (est.) |
| Gemma 3 4B Instruct | Q4_K_M · 3.6 GB at 8K context · ~126 tok/s (est.) |
| Gemma 3 1B Instruct | Q4_K_M · 1.5 GB at 8K context · ~277 tok/s (est.) |
At 2 hrs/day, buying (~$699) beats renting at $0.34/hr after about 2.9 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.
FAQ
Is the NVIDIA GeForce RTX 3080 (10GB) enough to run Gemma 3 locally?
Yes, but it's tight — Gemma 3 12B Instruct at Q4_K_M needs 9.1 GB at 8K context (7.2 GB weights + 1.9 GB KV cache/overhead), leaving ~0.9 GB of the NVIDIA GeForce RTX 3080 (10GB)'s 10 GB, at ~52 tok/s (est.), with room for up to 16K context.
What's the best Gemma 3 size for the NVIDIA GeForce RTX 3080 (10GB)?
Gemma 3 12B Instruct at Q4_K_M quantization needs 9.1 GB at 8K context (7.2 GB weights + 1.9 GB KV cache/overhead), estimated ~52 tokens/sec, up to 16K context.
Every Gemma 3 size on the NVIDIA GeForce RTX 3080 (10GB)
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Gemma 3 27B Instruct | 18.4 GB | Does not fit | — |
| Gemma 3 12B Instruct | 9.1 GB | Runs | ~52 tok/s |
| Gemma 3 4B Instruct | 3.6 GB | Runs | ~126 tok/s |
| Gemma 3 1B Instruct | 1.5 GB | Runs | ~277 tok/s |
Gemma 3 on Other GPUs
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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? | Gemma 3 Model Page | NVIDIA GeForce RTX 3080 (10GB) GPU Page | VRAM calculator | Check Your Hardware