Overcoming Challenges in Building an AI-Powered Roguelike RPG
The article details the author's journey in building an AI-powered roguelike RPG, including the challenges faced and the solutions found using different AI frameworks like QNN, LiteRT, and llama.cpp.
Why it matters
The article showcases the challenges and solutions in leveraging on-device AI for game development, which is an important area for improving mobile gaming experiences.
Key Points
- 1QNN HTP could only run 3 out of 363 nodes on the NPU, leading to slow performance
- 2LiteRT-LM GPU integration failed due to GPU memory overflow issues
- 3llama.cpp with Adreno OpenCL provided a 42x speedup compared to CPU-only
- 4Overcoming issues like missing libraries and struct layout mismatch to integrate llama.cpp
Details
The article details the author's journey in building an AI-powered roguelike RPG. They first tried using Qualcomm's QNN HTP framework, but found that only 3 out of 363 nodes could run on the NPU, leading to similar performance as CPU-only. They then tried Google's LiteRT-LM framework, but encountered GPU memory overflow issues due to Unity's renderer occupying the GPU. Finally, they found success with llama.cpp, an open-source language model framework, which provided a 42x speedup compared to CPU-only performance on the author's Samsung S24 Ultra device. The author had to overcome challenges like missing libraries and struct layout mismatch to integrate llama.cpp into their Unity-based game engine.
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