DeepSeek-V3.2 GPU Requirements: VRAM & Cheapest GPU
DeepSeek-V3.2 has about 685B parameters. See exactly how much GPU memory it needs at FP16, INT8, and INT4, and the cheapest GPU to run it, with live hourly pricing from 5+ data center partners.
To run DeepSeek-V3.2 for inference at FP16, you need roughly 1494 GB of VRAM. The cheapest fit on Spheron is 8x B200 192GB at about $21.92/hr. Quantize to INT4 to run it on a smaller, cheaper GPU.
Estimated peak VRAM including weights, activations, and KV cache. Add 10% headroom for production traffic.
- 01$2.74/hr$21.92/hr8× B200 192GBCHEAPESTBlackwell · HBM3e
- 02$3.35/hr$26.80/hr8× B300 288GBBlackwell Ultra · HBM3e
Live pricing aggregated from 5+ data center partners. Per-minute billing, no commitments.
VRAM required to run DeepSeek-V3.2
Estimated peak VRAM at context length 4,096 and batch size 1, including weights, activations, and KV cache. Quantizing to INT8 (Q8) or INT4 (Q4) cuts memory roughly in half and in quarter.
| Precision | Inference | LoRA fine-tune | Full fine-tune |
|---|---|---|---|
| FP16 | 1494 GB | 2241 GB | 5977 GB |
| INT8 | 747 GB | 1121 GB | 2988 GB |
| INT4 | 374 GB | 560 GB | 1494 GB |
Cheapest GPU to run DeepSeek-V3.2 by precision
Full precision. Best quality, highest memory.
8-bit quantized. ~2x smaller, minimal quality loss.
4-bit quantized. ~4x smaller, runs on smaller GPUs.
Inference vs fine-tuning DeepSeek-V3.2
Inference only holds the model weights plus a KV cache, so it is the cheapest setup. LoRA fine-tuning adds a small adapter and roughly 50% more memory. Full fine-tuning holds gradients and optimizer state on top of the weights, which is about 4x the inference footprint, so it often needs multiple GPUs even when inference fits on one. For DeepSeek-V3.2, an on-demand B200 192GB instance covers inference and LoRA, while a full fine-tune needs several times that memory and often spans multiple GPUs. Check the live GPU pricing for current rates.
Deployment guideDeploy DeepSeek V3.2 step by stepHands-on production setup, GPU configs, and benchmarks for DeepSeek-V3.2.Read guideSimilar models
Compare GPU requirements for models in the same class.