NInfer for Windows and around 16GB VRAM: RTX 5070 Ti / 5080 / 5090, Qwen3.8-27B GSQ-RCO Q3, CUDA 13 Native engine, tray manager, model conversion and measured setup guides.
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Updated
Oct 1, 2026 - C++
NInfer for Windows and around 16GB VRAM: RTX 5070 Ti / 5080 / 5090, Qwen3.8-27B GSQ-RCO Q3, CUDA 13 Native engine, tray manager, model conversion and measured setup guides.
AI-generated RTX 5090 XBAR overclocking tool with response code for related branches/discussions. Tested only on the author's configuration. For other setups, follow the docs and use an AI agent to adapt it to your machine. Use at your own risk.
Prebuilt spconv v2.3.8 wheels for CUDA 12.8 / 13.0 with native Blackwell (RTX 50-series, sm_120) kernels — for default PyPI torch (cu130) or torch +cu128
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