Can I Run Gemma 4 on NVIDIA GeForce RTX 5090?
作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Yes, comfortably — you'll have ~13.3 GB of headroom running Gemma 4 31B at Q4_K_M (18.7 GB, ~66 tok/s (est.)) with room for up to 32K context.
See what else this hardware can run →
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NVIDIA GeForce RTX 5090 Specs
| VRAM | 32 GB |
| Memory Bandwidth | 1792 GB/s |
Gemma 4 31B on the NVIDIA GeForce RTX 5090: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 63.7 GB | ✗ No | — | — |
| Q8_0 | 34.6 GB | ✗ No | — | Build for this |
| Q6_K | 27.1 GB | ✓ Yes | 16K | — |
| Q5_K_M | 23.7 GB | ✓ Yes | 32K | Build for this |
| Q4_K_M | 20.4 GB | ✓ Yes | 32K | Build for this |
| Q3_K_M | 14.9 GB | ✓ Yes | 64K | — |
| Q2_K | 11.9 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 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 21.3 GB · 32K 26.8 GB · 128K 48.5 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? Gemma 4 31B on 32 GB of system RAM, CPU only: runs comfortably.
Gemma 4 Sizes That Fit the NVIDIA GeForce RTX 5090
| Gemma 4 31B | Q4_K_M · 18.7 GB · ~66 tok/s (est.) |
| Gemma 4 26B-A4B | Q4_K_M · 15.7 GB · ~228 tok/s (est.) |
| Gemma 4 12B (Unified) | Q4_K_M · 7.2 GB · ~135 tok/s (est.) |
| Gemma 4 E4B | Q4 (QAT) · 4.5 GB · ~179 tok/s (est.) |
| Gemma 4 E2B | Q4 (QAT) · 2.9 GB · ~224 tok/s (est.) |
At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 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
Does the NVIDIA GeForce RTX 5090 have enough VRAM for Gemma 4?
Yes, comfortably — you'll have ~13.3 GB of headroom running Gemma 4 31B at Q4_K_M (18.7 GB, ~66 tok/s (est.)) with room for up to 32K context.
Which quantization of Gemma 4 should I use on the NVIDIA GeForce RTX 5090?
Gemma 4 31B at Q4_K_M quantization (18.7 GB), estimated ~66 tokens/sec, up to 32K context.
Every Gemma 4 size on the NVIDIA GeForce RTX 5090
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Gemma 4 31B | 18.7 GB | Runs | ~66 tok/s |
| Gemma 4 26B-A4B | 15.7 GB | Runs | ~228 tok/s |
| Gemma 4 12B (Unified) | 7.2 GB | Runs | ~135 tok/s |
| Gemma 4 E4B | 4.5 GB | Runs | ~179 tok/s |
| Gemma 4 E2B | 2.9 GB | Runs | ~224 tok/s |
Gemma 4 on Other GPUs
- Gemma 4 on Apple M4
- Gemma 4 on Apple M2 Pro
- Gemma 4 on Apple M1 Pro
- Gemma 4 on Apple M5
- Gemma 4 on Apple M3 Pro
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VRAM Tier
Troubleshooting
Buying Guide
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