DeepSeek-V4-Flash-NVFP4 GPU Requirements: VRAM & Cheapest GPU
DeepSeek-V4-Flash-NVFP4 has about 167B 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-V4-Flash-NVFP4 for inference at FP16, you need roughly 363 GB of VRAM. The cheapest fit on Spheron is 4x RTX PRO 6000 96GB at about $3.64/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$0.91/hr$3.64/hr4× RTX PRO 6000 96GBCHEAPESTBlackwell · GDDR7
- 02$3.50/hr$7.00/hr2× B300 288GBBlackwell Ultra · HBM3e
- 03$1.88/hr$7.52/hr4× GH200 96GBGrace Hopper · HBM3
- 04$1.07/hr$8.56/hr8× L40S 48GBAda Lovelace · GDDR6
- 05$1.19/hr$9.52/hr8× A100 80GBAmpere · HBM2e
Live pricing aggregated from 5+ data center partners. Per-minute billing, no commitments.
VRAM required to run DeepSeek-V4-Flash-NVFP4
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 | 363 GB | 545 GB | 1454 GB |
| INT8 | 182 GB | 273 GB | 727 GB |
| INT4 | 91 GB | 136 GB | 363 GB |
Cheapest GPU to run DeepSeek-V4-Flash-NVFP4 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-V4-Flash-NVFP4
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-V4-Flash-NVFP4, an on-demand RTX PRO 6000 96GB 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 V4 step by stepHands-on production setup, GPU configs, and benchmarks for DeepSeek-V4-Flash-NVFP4.Read guideSimilar models
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