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Qwen3.6-35B model achieves 100k context on single P40 GPU

A user on Reddit's r/LocalLLaMA subreddit shared impressive performance metrics for the Qwen3.6-35B model running on a single NVIDIA P40 GPU. By utilizing TheTom's TurboQuant fork of llama.cpp and disabling the vision component, the user achieved a 100k context window and a speed of 80 tokens/second. This setup was optimized to maximize performance on older hardware while maintaining agent usability. AI

IMPACT Demonstrates optimized performance for large context windows on older hardware, potentially enabling wider use of advanced models.

RANK_REASON User-shared performance metrics for a specific model on consumer hardware.

Read on r/LocalLLaMA →

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

Qwen3.6-35B model achieves 100k context on single P40 GPU

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-shared performance metrics for a specific model on consumer hardware.
Source corroboration
Single-source cluster
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.
Topics
infra, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
72 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 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/otacon6531 ·

    Qwen3.6:35b UD Q4_K_M 80 tok/s on Nvidia P40

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1uxln6i/qwen3635b_ud_q4_k_m_80_toks_on_nvidia_p40/"> <img alt="Qwen3.6:35b UD Q4_K_M 80 tok/s on Nvidia P40" src="https://preview.redd.it/nrxkobib5hdh1.png?width=140&amp;height=64&amp;auto=webp&amp;s=e337c8d37…