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NInfer adds day-zero support for Qwen3.8-27B model with engine improvements

The NInfer inference engine has released day-zero support for the new Qwen3.8-27B model, enabling local deployment and experimentation. This update brings significant engine improvements, including support for up to 8 concurrent requests with a shared KV cache and the implementation of ReplaySSM for reduced memory overhead. These optimizations allow for approximately 200 tokens/second generation speed on a single RTX 5090 GPU, even with speculative decoding. AI

IMPACT Enables local deployment and experimentation with the Qwen3.8-27B model, offering improved performance and concurrency for users.

RANK_REASON This is a software update for a local inference engine adding support for a specific model, not a frontier model release or significant industry event.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

NInfer adds day-zero support for Qwen3.8-27B model with engine improvements

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0 / 100
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Tool
This is a software update for a local inference engine adding support for a specific model, not a frontier model release or significant industry event.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, infra
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High
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70 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/FormOne2615 ·

    NInfer day0 support for Qwen3.8 27b: ~200 tok/s generation, with tons of engine improvments

    <!-- SC_OFF --><div class="md"><p>Qwen3.8-27B is finally here, and <a href="https://github.com/Neroued/ninfer">NInfer</a> already has Day-0 support!</p> <p>Weights:<br /> <a href="https://huggingface.co/neroued/Qwen3.8-27B-NInfer">https://huggingface.co/neroued/Qwen3.8-27B-NInfer…