DeepSeek V3 on NVIDIA GeForce RTX 4070 Super
NVIDIA GeForce RTX 4070 Super cannot run DeepSeek V3 at any quantization level. The 12 GB of VRAM is insufficient.
Model Size
671B
Device VRAM
12 GB
Bandwidth
504 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows DeepSeek V3 performance at a different quality level on NVIDIA GeForce RTX 4070 Super.
| 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. 12GB 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 4070 Super
NVIDIA GeForce RTX 4070 Super has 12 GB at 504 GB/s. Street price: $599.
See all models NVIDIA GeForce RTX 4070 Super can run →Builds with NVIDIA GeForce RTX 4070 Super
Source: Performance estimates based on model size and device bandwidth (2026-03-15)
Data last updated: 2026-03-15