CUDA 13.1 backend for AuraRouter
Project description
aurarouter-cuda13
AuraRouter High-Performance GPU Backend (CUDA 13.1)
This package is a "sidecar" for AuraRouter. It contains the pre-compiled binary payload required to run local LLMs on modern NVIDIA GPUs with maximum performance.
What's inside?
llama-server.exe: Compiled with CUDA 13.1 support.ggml-cuda.dll: Optimized kernels for NVIDIA Ada (RTX 40), Blackwell (RTX 50), and Ampere (RTX 30) architectures.cudart64_13.dll&cublas64_13.dll: Required NVIDIA runtime libraries.
Requirements
- Hardware: NVIDIA GPU (RTX 20-series or newer recommended).
- Drivers: NVIDIA Driver version 570.86 or higher.
- AuraRouter: Must be installed in the same environment.
Usage
Simply install this package into the same virtual environment as aurarouter:
pip install aurarouter-cuda13
AuraRouter's BinaryManager will automatically detect this package and prioritize it over CPU-based backends. No configuration change is required.
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