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DeepSeek V4 Pro demands 21 RTX 3090s

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DeepSeek V4 Pro demands 21 RTX 3090s
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// 45d agoMODEL RELEASE

DeepSeek V4 Pro demands 21 RTX 3090s

DeepSeek's 1.6T parameter V4 Pro model sets a new frontier for open weights but remains practically unreachable for consumer hardware, demanding over 500GB of VRAM for 4-bit inference.

// ANALYSIS

DeepSeek's 1.6 trillion parameter V4 Pro is a datacenter-only model that pushes the limits of what the local LLM community can realistically deploy. At 4-bit quantization, it requires over 500GB of VRAM, making even quad-3090 setups insufficient for full residency. While the new CSA and HCA architectures offer significant KV cache efficiency, this primarily benefits high-concurrency API serving rather than single-user hardware constraints. For most enthusiasts, the optimized Flash variant or API access remains the only practical path to frontier performance.

// TAGS
deepseek-v4-prollmgpuinferenceopen-weightsopen-sourcereasoning

DISCOVERED

45d ago

2026-04-28

PUBLISHED

45d ago

2026-04-28

RELEVANCE

10/ 10

AUTHOR

szansky