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.
- 3090
- 4090
- CMP170HX
- Codex
- Hermes
- llama.cpp
- Neroued
- NInfer
- Qwen3.6-35B
- Qwen3.8-27B
- Sergiuszm
- SGLang
- vLLM
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
