Gemma 2 27B Instruct on NVIDIA GeForce RTX 4090
NVIDIA GeForce RTX 4090 handles Gemma 2 27B Instruct well at 22 tok/s at Q4_K_M. A solid choice for this model.
Model Size
27.23B
Device VRAM
24 GB
Bandwidth
1008 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows Gemma 2 27B Instruct performance at a different quality level on NVIDIA GeForce RTX 4090.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | 22 tok/s | 400ms | ✓ Yes | Good | estimated |
Notes
Q4_K_M
Q4 at 15.5GB fits well on 4090 with 8.5GB headroom. Good quality-to-speed ratio.
About Gemma 2 27B Instruct
Gemma 2 27B Instruct (27.23B) is a chat, coding, reasoning, multi-purpose model. Google's 27B model with excellent knowledge distillation. Strong reasoning and coding capabilities at a size that fits on a single 24GB GPU at Q4. Limited to 8K context.
View all Gemma 2 27B Instruct hardware options →About NVIDIA GeForce RTX 4090
NVIDIA GeForce RTX 4090 has 24 GB at 1008 GB/s. Street price: $1,799.
See all models NVIDIA GeForce RTX 4090 can run →Builds with NVIDIA GeForce RTX 4090
Source: 27B model benchmarks (2026-01-15)
Data last updated: 2026-03-01