DeepSeek V3 on NVIDIA GeForce RTX 4060 8GB
NVIDIA GeForce RTX 4060 8GB cannot run DeepSeek V3 at any quantization level. The 8 GB of VRAM is insufficient.
Model Size
671B
Device VRAM
8 GB
Bandwidth
272 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows DeepSeek V3 performance at a different quality level on NVIDIA GeForce RTX 4060 8GB.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | — | — | ✗ Offload | Not Viable | estimated |
Notes
Q2_K
671B parameter model. Cloud/inference API only.
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 4060 8GB
NVIDIA GeForce RTX 4060 8GB has 8 GB at 272 GB/s. Street price: $289.
See all models NVIDIA GeForce RTX 4060 8GB can run →Source: 671B MoE model requires hundreds of GB VRAM (2026-03-15)
Data last updated: 2026-03-15