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NInfer fork enables 2x performance boost for Qwen3.6-35B on CMP170HX hardware

A user has successfully forked the NInfer project to enable it to run on CMP170HX hardware, achieving a twofold performance increase for the Qwen3.6-35B model. This modification involved adjusting CUDA kernels and compiler flags to accommodate the specific architecture of the CMP170HX, which differs from the RTX 3090 it was originally based on. The user highlighted the contributions of other developers in the local AI community and detailed the technical challenges overcome, including kernel launch size errors and workspace sizing adjustments, to achieve this performance boost. AI

IMPACT Enables users to achieve higher performance from consumer hardware for local LLM deployment.

RANK_REASON User-driven modification of existing open-source software for hardware optimization.

Read on r/LocalLLaMA →

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

NInfer fork enables 2x performance boost for Qwen3.6-35B on CMP170HX hardware

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Signal score
0 / 100
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Newsworthiness bucket
Tool
User-driven modification of existing open-source software for hardware optimization.
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
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High
Clearly on-topic for AI-industry coverage.
Story freshness
46 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/ubrtnk ·

    I forked Ninfer 3090 and converted it to run on the CMP170HX - doubled my Qwen3.6-35B from llama.cpp

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vvjxg1/i_forked_ninfer_3090_and_converted_it_to_run_on/"> <img alt="I forked Ninfer 3090 and converted it to run on the CMP170HX - doubled my Qwen3.6-35B from llama.cpp" src="https://preview.redd.it/7s6zdpyfy…