AINewsnow

DeepSeek-V3 671B Local Hardware: RAM Offload Math & Guide

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

Direct Answer: To run the full DeepSeek-V3 or DeepSeek-R1 671B Mixture of Experts (MoE) model locally, you do not need 700 GB of pure GPU VRAM. Because only 37B parameters activate per token (1 shared expert plus 8 routed experts), a single 24GB GPU (RTX 3090 or RTX 4090) paired with 256GB–512GB of…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-09-10 04:02 · DEV Community — Machine Learning
    DeepSeek-V3 671B Local Hardware: RAM Offload Math & Guide

More stories

  1. Cactus Needle 3: A Sliceable 8-29MB Automation Foundation Model That Matches DeepSeek v4 Flash — r/LocalLLaMA
  2. DeepSeek’s Insane New Architecture — Two Minute Papers
  3. Jina AI Releases jina-ocr-v1: A 3.4B MoE Document Parser With Built-In Speculative Decoding for Low-Budget GPUs — MarkTechPost
  4. Gemini 4 is good enough - JUST RELEASE IT — r/GeminiAI
  5. Own 1 dashboard for ChatGPT, Gemini, Claude, and more for only $54.97 — Mashable AI
  6. I enjoyed the daily HF papers today — r/LocalLLaMA
  7. Engrams Embedding Entendre: Codesign for Efficient DRAM/SSD Offloading — SemiAnalysis
  8. Coming soon...... Optimized for DEEPSEEK Flash.... Though model Agnostic.... message me to test.... cem888.ai — r/huggingface

Get the daily brief of stories like this at 6:30 every morning →