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Lawyer's eight-V100 server runs DeepSeek-V4.1-Flash locally at near-NVFP4 quality

A lawyer converted a Claude-built legal harness to run fully local on DeepSeek-V4.1-Flash, using eight 2018 V100 GPUs with 524K context and 100+ tok/s decode, upgrading most-used experts from 2-bit to near-NVFP4 precision.

Read the full story at r/machinelearningnews ↗

Timeline · 10 reports

  1. 2026-11-14 12:50 · Tom's Hardware
    Lawyer’s eight-V100 AI server moves DeepSeek from 2-bit to near-NVFP4 precision
  2. 2026-11-14 12:50 · Tom's Hardware
    Lawyer upgrades eight-V100 private AI server to run 80% of DeepSeek V4.1 Flash at 4-bit NVFP4 precision — adds 1TB of RAM, an Nvidia RTX 3090, and fixes crashes caused by a bad PSU
  3. 2026-11-13 20:22 · r/LocalLLM
    DeepSeek V4.1 Flash RAM overheat
  4. 2026-11-12 23:37 · r/LocalLLM
    [Crazy AI Lawyer] My Claude legal harness now runs 100% local on DeepSeek-V4.1-Flash: eight 2018 V100s at near-NVFP4 quality, 524K context, 100+ tok/s. Not as good as frontier, but it replaces real work today
  5. 2026-11-12 23:33 · r/ClaudeAI
    I spent Feb to July building a legal harness to make Claude more predictable. Now Opus 5.5 and Fable 5.2 have turned it into a 100% local DeepSeek harness and written custom GPU kernels for my 2018 V100s. Repo is public
  6. 2026-11-12 23:31 · r/LocalLLaMA
    Lawyer with too many GPUs, part 5: DeepSeek-V4.1-Flash at near-NVFP4 quality on eight V100s from 2018. 524K context, 100+ tok/s decode, ~160 tok/s with two chats at once, and my legal harness now runs on it, 100% local
  7. 2026-11-12 22:31 · AlphaSignal
    vLLM Rebuilds DeepSeek-V4.1-Flash Serving to Run 58x Faster on Rubin
  8. 2026-11-12 04:25 · DEV Community — Machine Learning
    Evaluating DeepSeek-V4.1-Flash-1017 on a 60-Page PDF: What Text Extraction Misses
  9. 2026-11-12 00:50 · r/LocalLLaMA
    DeepSeek V4.1 Flash 1017 exl3 2.9bpw APEX 2025 benchmark results
  10. 2026-11-11 22:07 · r/machinelearningnews
    New Inference Optimization technique speeds DeepSeek-V4.1-Flash up 3x on B200 than vLLM and SGLang running on GB300

More stories

  1. Per ex OpenAI researcher, DeepSeek, Kimi, MiniMax, Ling models are all trained on Nvidia chips — r/singularity
  2. DeepSeek brings app capabilities including search, files, and voice to its API — DeepSeek News
  3. DeepSeek-V3 & Coder-V2 on Local GPUs: Exact VRAM, MoE Physics & Token Benchmarks — DEV Community — Machine Learning
  4. Why don’t we have national open AI models? — r/LocalLLaMA
  5. How to Deploy DeepSeek-R1 & Qwen on Azure with Scale-to-Zero ($0 Idle Bill) — DEV Community — AI
  6. One Endpoint for Claude, GPT, DeepSeek and GLM: A Router Setup Guide — DEV Community — AI
  7. agentbelt 0.3.0: token optimization for local AI agents, with honest numbers — DEV Community — AI
  8. Turning long AI sessions into a work map: dsh-topic-graph — DEV Community — AI

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