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New Ninfer 4080 system enables 100k context LLM on 16GB GPU

By PulseAugur Editorial · [1 sources] ·

A software engineer has developed Ninfer 4080, a system designed to run the ISTA-DASLab-Qwen-3.8-27B-GSQ model on an RTX 4080 GPU with 16GB of memory. This new system aims to significantly improve prefill and token generation speeds, achieving up to 2720 tokens/sec for prefill and 262 tokens/sec for generation at a 100k context length. The project, shared on GitHub, utilizes DFlash2 speculative decoding and aims to optimize hardware utilization beyond general-purpose inference engines. AI

IMPACT Enables running larger context models on consumer-grade hardware, potentially lowering the barrier for advanced LLM experimentation.

RANK_REASON This is a user-developed tool for running existing models on specific hardware, not a release from a frontier lab.

Read on r/LocalLLaMA →

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

New Ninfer 4080 system enables 100k context LLM on 16GB GPU

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1 / 100
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Tool
This is a user-developed tool for running existing models on specific hardware, not a release from a frontier lab.
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product, infra
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COVERAGE [1]

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

    I built Ninfer 4080 for 16GB class GPUs

    <!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <h1>TL/DR</h1> <p>I created NInfer 4080 to run ISTA-DASLab-Qwen-3.8-27B-GSQ at 100k context on an RTX 4080 16GB GPU using way more of the hardware capabilities (<strong>max overall: 2720 tok/s prefill, 262 tok/s generation</stron…

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