Can You Run Gemma 4 on an RTX 5090 (32GB VRAM)?
Yes — best fit is Gemma 4 31B at Q4_0 (4-bit) (~17.4GB) ✅ Comfortable, using 31GB of usable memory on a 32GB RTX 5090.
Every Gemma 4 model on this configuration
| Model | Best quant | Size | Status |
|---|---|---|---|
| Gemma 4 E2B | BF16 (16-bit) | ~8 GB | ✅ Comfortable |
| Gemma 4 E4B | BF16 (16-bit) | ~15 GB | ✅ Comfortable |
| Gemma 4 12B | SFP8 (8-bit) | ~13.4 GB | ✅ Comfortable |
| Gemma 4 26B A4B | Q4_0 (4-bit) | ~15.6 GB | ✅ Comfortable |
| Gemma 4 31B | Q4_0 (4-bit) | ~17.4 GB | ✅ Comfortable |
How we got this verdict
32 - 1 = 31GB usable VRAM (the driver and OS reserve roughly 1 GB).
31B lands on Q4_0 here, so grab the official QAT (quantization-aware training) checkpoint instead of a generic Q4_0 quant. Google shipped a full-quality QAT build for 31B at essentially the same ~19GB download size, with noticeably better output quality than a naive 4-bit quant. See the QAT guide for exact file names.
The fastest lever on a fixed budget isn't more VRAM on the same card — it's switching cards. Compare this tier against neighboring cards below, or check the full checker for any GPU model.
Real-world notes for this configuration
The RTX 5090 is the first consumer NVIDIA card with 32GB of VRAM, on a 512-bit GDDR7 bus — both the widest bus and the highest capacity in this entire checker's GPU lineup. It's also the only card here with enough usable VRAM to run the 31B flagship model comfortably rather than tight, at essentially any quant level.
- ⚠575W typical board power (per NVIDIA's spec) is the highest in this lineup by a wide margin — PSU and case airflow requirements are correspondingly serious for sustained local-AI use.
- ⚠Very large, often triple-slot or bigger cards — verify case clearance before buying specifically for a local-AI build.
Try a different configuration
Best fit: Gemma 4 31B · Q4_0 (4-bit) · ~17.4 GB ✅ Comfortable
FAQ
Can a RTX 5090 (32GB VRAM) run the 31B flagship model?
Yes, comfortably — Gemma 4 31B fits at Q4_0 (4-bit) (~17.4GB), using 31GB of usable memory on this configuration.
What's the best Gemma 4 model for a RTX 5090 (32GB VRAM)?
Gemma 4 31B at Q4_0 (4-bit) (~17.4GB) is the best fit — it's the largest model that runs comfortably within the 31GB of usable memory here.
What if I have more or less memory than 32GB VRAM?
This is the top configuration in this family — every Gemma 4 model already fits at its best available quant. With less (e.g. RTX 4090), the best-fitting model gets smaller or tighter — see the RTX 4090 page.
Is the RTX 5090 the highest-VRAM consumer NVIDIA GPU?
Yes — its 32GB is the most VRAM NVIDIA has put on a consumer (non-workstation) card, ahead of every previous-generation consumer GPU in this lineup.
Is the RTX 5090's power draw a real concern for a local-AI-focused build?
At NVIDIA's rated 575W typical board power, yes — it's meaningfully higher than every other card in this lineup, so PSU headroom and case airflow both need real attention for sustained sessions.