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DeepSeek V4.1 Flash gains traction across local and datacenter inference stacks

New reports show DeepSeek-V4.1-Flash running on a single RTX 3090 with system RAM, on a 12 GB RTX 3060 via expert streaming, and 3x faster than vLLM and SGLang on B200 using dynamic topology switching.

Read the full story at r/LocalLLM ↗

Timeline · 6 reports

  1. 2026-11-12 04:25 · DEV Community — Machine Learning
    Evaluating DeepSeek-V4.1-Flash-1017 on a 60-Page PDF: What Text Extraction Misses
  2. 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
  3. 2026-11-10 10:19 · DEV Community — AI
    DeepSeek V4.1 Flash in DeepSeek Harness: GenUI praktisch einrichten und prüfen
  4. 2026-11-09 23:32 · r/LocalLLaMA
    Same prompt, DeepSeek V4.1 Flash vs Qwen 3.8 FN: 94 tok/s vs 350 tok/s
  5. 2026-11-09 19:49 · r/LocalLLM
    RustingStrata vs llama.cpp runs DeepSeek-V4.1-Flash Q2 (249 GB) on a single RTX 3060 12 GB with 30 GB RAM
  6. 2026-11-09 13:47 · r/LocalLLM
    DeepSeek V4.1 Flash Unsloth IQ2 at 42 tok/s on one RTX 3090 + 192 GB RAM: Delta Inference Engine 0.94 (native Windows)

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