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NInfer update enables 350K token context for Qwen 3.8-27B on RTX 4090

By PulseAugur Editorial · [2 sources] ·

A user has updated their fork of NInfer, a tool for running large language models locally, to support the Qwen 3.8-27B model. This update allows for context windows of up to 250-350K tokens on a single RTX 4090 GPU, without requiring system RAM. The optimizations also enable generation speeds of 80-160 tokens per second for certain workloads. AI

IMPACT Enables larger context windows for local LLM deployments, potentially improving performance on complex tasks.

RANK_REASON User-developed software update for running existing models on consumer hardware.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

NInfer update enables 350K token context for Qwen 3.8-27B on RTX 4090

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Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-developed software update for running existing models on consumer hardware.
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
infra, model release
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High
Clearly on-topic for AI-industry coverage.
Story freshness
21 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [2]

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

    NInfer RTX 4090 for Qwen 3.8 27B update - up to 250-350K tokens context in VRAM

    <!-- SC_OFF --><div class="md"><p>I've made some improvements to my fork of NInfer, adding rk2v4-e8 quant option for the KV cache, which can reach up to 250-350K tokens of context window depending on the configuration like vision, MTP, etc, on my single RTX 4090 without spilling …

  2. r/LocalLLaMA TIER_1 English(EN) · /u/UDPSendToFailed ·

    Ninfer for RTX 4090 and Qwen 3.8 27B

    <!-- SC_OFF --><div class="md"><p>I made a quick port for Windows based on ninfer-3090. It seems to be working for the most part, reaching about 60-100t/s and fits up to 100-150K tokens depending on the context with rk8v4.</p> <p>Tested with qwen3_8_27b.ninfer from <a href="https…

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