DeepSeek V3 on NVIDIA GeForce RTX 3080 10GB
NVIDIA GeForce RTX 3080 10GB cannot run DeepSeek V3 at any quantization level. The 10 GB of VRAM is insufficient.
Model Size
671B
Device VRAM
10 GB
Bandwidth
760 GB/s
Quantizations Tested
1
Performance by Quantization
Each row shows DeepSeek V3 performance at a different quality level on NVIDIA GeForce RTX 3080 10GB.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | — | — | ✗ Offload | Not Viable | estimated |
Notes
Q2_K
671B MoE. Q2 115GB. Doesn't fit. Requires multi-GPU or 128GB+.
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 3080 10GB
NVIDIA GeForce RTX 3080 10GB has 10 GB at 760 GB/s. Street price: $399.
See all models NVIDIA GeForce RTX 3080 10GB can run →Source: Performance estimates based on model size and device bandwidth (2026-03-15)
Data last updated: 2026-03-15