DeepSeek AI

DeepSeek V4.1 Flash

DeepSeek AI model discovered on huggingface

Model Summary

Family

DeepSeek

Version

4.1

Parameters

763.2B (est.)

Parameter counts for closed models are estimates; vendors rarely publish exact sizes.

VRAM Requirements by Quantization

Memory needed to serve DeepSeek V4.1 Flash for inference, including a 20% overhead for activations and KV cache.

PrecisionVRAM neededSmallest single GPU that fits
INT4 (4-bit)426.47 GBMulti-GPU required
INT8 (8-bit)852.94 GBMulti-GPU required
FP16 (16-bit)1705.88 GBMulti-GPU required
FP32 (32-bit)3411.77 GBMulti-GPU required

Recommended GPU Configurations

Cheapest on-demand configurations to serve DeepSeek V4.1 Flash at 8-bit (853 GB VRAM).

7x AMD Instinct MI250X

896 GB total VRAM · CDNA 2

~$17.50/h

54x NVIDIA T4

864 GB total VRAM · Turing · multi-node

~$27.00/h

5x AMD Instinct MI300X

960 GB total VRAM · CDNA 3

~$30.00/h

Quick GPU Planning

Use the calculator pre-filled with this exact version to estimate memory, speed, and compute requirements in a few clicks.

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Frequently Asked Questions

How much VRAM do you need to run DeepSeek V4.1 Flash?

With an estimated 763.2B parameters, DeepSeek V4.1 Flash needs roughly 853 GB of VRAM in 8-bit (INT8), 426 GB in 4-bit, and 1706 GB in FP16, including a 20% overhead for activations and KV cache.

Which GPUs can run DeepSeek V4.1 Flash?

At 8-bit quantization, the most cost-effective option is 7x AMD Instinct MI250X (896 GB combined VRAM, around $17.50/hour on-demand). Higher-end cards like the NVIDIA B200 or AMD MI355X reduce the GPU count needed.

Can DeepSeek V4.1 Flash run on a single GPU?

No. Even in 4-bit, DeepSeek V4.1 Flash exceeds the memory of any single current GPU, so a multi-GPU cluster is required.

How much does it cost to serve DeepSeek V4.1 Flash in the cloud?

Renting 7x Instinct MI250X costs on the order of $17.50/hour, i.e. about $12,775/month running 24/7. Actual prices vary by provider and commitment; spot and reserved capacity can be significantly cheaper.