Can I Run Gemma 4 on NVIDIA GeForce RTX 4090?
作者： Jakub Rusinowski · 最后更新： 2026年9月29日
Yes, comfortably — Gemma 4 31B at Q4_K_M needs 21.4 GB at 8K context (18.7 GB weights + 2.7 GB KV cache/overhead), leaving ~2.6 GB of the NVIDIA GeForce RTX 4090's 24 GB, at ~42 tok/s (est.), with room for up to 32K context.
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NVIDIA GeForce RTX 4090 Specs
| VRAM | 24 GB |
| Memory Bandwidth | 1008 GB/s |
Gemma 4 31B on the NVIDIA GeForce RTX 4090: VRAM by quantization
| Quant | VRAM needed | Fits 24 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 64.7 GB | ✗ No | — | — |
| Q8_0 | 35.7 GB | ✗ No | — | Build for this |
| Q6_K | 28.1 GB | ✗ No | — | — |
| Q5_K_M | 24.7 GB | ✗ No | — | Build for this |
| Q4_K_M | 21.4 GB | ✓ Yes | 32K | Build for this |
| Q3_K_M | 15.9 GB | ✓ Yes | 64K | — |
| Q2_K | 12.9 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 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 4090: 8K 21.4 GB · 32K 23.5 GB · 128K 31.5 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.
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 4090 (at 8K context)
| Gemma 4 31B | Q4_K_M · 21.4 GB at 8K context · ~42 tok/s (est.) |
| Gemma 4 26B-A4B | Q4_K_M · 17 GB at 8K context · ~190 tok/s (est.) |
| Gemma 4 12B (Unified) | Q4_K_M · 8.7 GB at 8K context · ~94 tok/s (est.) |
| Gemma 4 E4B | Q4 (QAT) · 6.4 GB at 8K context · ~130 tok/s (est.) |
| Gemma 4 E2B | Q4 (QAT) · 4.7 GB at 8K context · ~171 tok/s (est.) |
At 2 hrs/day, buying (~$1,599) beats renting at $0.34/hr after about 6.5 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
Will Gemma 4 run on the NVIDIA GeForce RTX 4090?
Yes, comfortably — Gemma 4 31B at Q4_K_M needs 21.4 GB at 8K context (18.7 GB weights + 2.7 GB KV cache/overhead), leaving ~2.6 GB of the NVIDIA GeForce RTX 4090's 24 GB, at ~42 tok/s (est.), with room for up to 32K context.
Which Gemma 4 variant fits best on the NVIDIA GeForce RTX 4090?
Gemma 4 31B at Q4_K_M quantization needs 21.4 GB at 8K context (18.7 GB weights + 2.7 GB KV cache/overhead), estimated ~42 tokens/sec, up to 32K context.
Every Gemma 4 size on the NVIDIA GeForce RTX 4090
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Gemma 4 31B | 21.4 GB | Runs | ~42 tok/s |
| Gemma 4 26B-A4B | 17 GB | Runs | ~190 tok/s |
| Gemma 4 12B (Unified) | 8.7 GB | Runs | ~94 tok/s |
| Gemma 4 E4B | 6.4 GB | Runs | ~130 tok/s |
| Gemma 4 E2B | 4.7 GB | Runs | ~171 tok/s |
Gemma 4 on Other GPUs
- Gemma 4 on NVIDIA GeForce RTX 3090
- Gemma 4 on AMD Radeon RX 7900 XTX
- Gemma 4 on Apple M4 Pro
- Gemma 4 on Apple M3
- Gemma 4 on Apple M2
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