DeepSeek V3 on NVIDIA GeForce RTX 4090
NVIDIA GeForce RTX 4090 cannot run DeepSeek V3 at any quantization level. The 24 GB of VRAM is insufficient.
Model Size
671B
Device VRAM
24 GB
Bandwidth
1008 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows DeepSeek V3 performance at a different quality level on NVIDIA GeForce RTX 4090.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | — | — | ✗ Offload | Not Viable | estimated |
Notes
Q2_K
671B MoE model requires 115GB+ at Q2_K. 24GB insufficient. Would need 128GB+ unified memory.
About DeepSeek V3
DeepSeek V3 (671B) is a chat, coding, ai coding, reasoning, multi-purpose model. Massive MoE model rivaling GPT-4 class. Only ~37B parameters active per token despite 671B total. Requires multi-GPU or very large unified memory (128GB+ Apple Silicon at Q2/Q3). Not for casual home use — included for completeness and to show what the high end looks like.
View all DeepSeek V3 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: Performance estimates based on model size and device bandwidth (2026-03-15)
Data last updated: 2026-03-15