LLMDeepSeekMIT

DeepSeek V4 Flash

deepseek-ai/DeepSeek-V4-Flash

Parameters

284B

Context

1024K

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2.3M

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2.1K

Architecture

moe_transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
674.1 GB
RAM 1011.2 · Disk 864.2
720.3 GB
RAM 1080.4 · Disk 890.2
847.6 GB
RAM 1271.4 · Disk 929.2
FP88bit
339.5 GB
RAM 509.3 · Disk 451.6
370.5 GB
RAM 555.7 · Disk 477.6
482.6 GB
RAM 723.9 · Disk 516.6
INT88bit
339.5 GB
RAM 509.3 · Disk 451.6
370.5 GB
RAM 555.7 · Disk 477.6
482.6 GB
RAM 723.9 · Disk 516.6
AWQ4bit
178.5 GB
RAM 267.8 · Disk 253.0
202.2 GB
RAM 303.2 · Disk 279.0
307.0 GB
RAM 460.4 · Disk 318.0
GPTQ4bit
180.6 GB
RAM 270.9 · Disk 255.6
204.3 GB
RAM 306.5 · Disk 281.6
309.2 GB
RAM 463.8 · Disk 320.6
GGUF4bit
184.8 GB
RAM 277.2 · Disk 260.8
208.7 GB
RAM 313.1 · Disk 286.8
313.8 GB
RAM 470.7 · Disk 325.8

GPU Recommendations

Best ValueBEST

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 111.9 tok/s

Effective production throughput ≈ 78.3 tok/s

score 0.2675

Cheapest

8× RTX A6000

384 GB VRAM

$1,678/mo

≈ 17.9 tok/s

Effective production throughput ≈ 12.5 tok/s

score 0.483

Deploy on vast ↗
Performance

4× H200 SXM

564 GB VRAM

$10,220/mo

≈ 84 tok/s

Effective production throughput ≈ 58.8 tok/s

score 0.365

Min Complexity

2× H200 SXM

282 GB VRAM

$5,110/mo

≈ 56 tok/s

Effective production throughput ≈ 39.2 tok/s

score 0.5871

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