DeepSeek V3
DeepSeek V3 requires multi-GPU or server hardware. Precise VRAM thresholds and benchmarks below.
llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
Execution Context
How to run this model
System Requirements
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 1644 GB | 1370 GB | Maximum |
| Q8 (high quality) | 822 GB | 685 GB | Near-lossless |
| Q4 (recommended) Best balance | 411 GB | 343 GB | Recommended |
| Q2 (minimum) | 206 GB | 171 GB | Quality loss |
Model Details
| Developer | DeepSeek |
| Parameters | 685B |
| Context window | 128,000 tokens |
| License | MIT |
| Use cases | chat, coding, reasoning, analysis |
| Released | 2024-12 |
Hugging Face
deepseek-ai/DeepSeek-V3 Can your GPU run DeepSeek V3?
DeepSeek V3 requires <strong class="text-error">411 GB VRAM</strong>. No current consumer GPU has enough VRAM for local inference — consider distilled variants.
Hardware Performance Matrix
0 Q4 native · 0 offload
| GPU Unit | VRAM | Compatibility | Est. Speed | Action |
|---|
DeepSeek V3 requires 411 GB VRAM (Q4)
No consumer GPU has enough VRAM for this model. Consider lighter alternatives or professional hardware.
DeepSeek V3 — Compatibility guide
DeepSeek V3 with 685B parameters only runs fully in multi-GPU or server configurations. Consider distilled versions if available. The VRAM calculator can help you find compatible alternatives.
Compatible Hardware
GPUs that run DeepSeek V3 at Q4 — sorted by AI performance score.
No consumer GPUs have enough VRAM for this model.
Consider distilled versions or Q2 quantization.
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More Practical Alternatives
Similar models in the chat category with comparable VRAM footprints.
Not sure which GPU you need for DeepSeek V3?
The VRAM Calculator tells you exactly which quantization your hardware can handle.