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DeepSeek-V3 & Coder-V2 on Local GPUs: Exact VRAM, MoE Physics & Token Benchmarks

Deploying DeepSeek-V3 (671B) and DeepSeek-Coder-V2 (236B) locally exposes the definitive architectural trap of modern LLM hosting: Total parameter volume dictates where the model physically lives, but active parameter count dictates how fast it computes. While DeepSeek-V3 only computes 37B active p…

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  1. 2026-11-14 18:14 · DEV Community — Machine Learning
    DeepSeek-V3 & Coder-V2 on Local GPUs: Exact VRAM, MoE Physics & Token Benchmarks

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