At some point I realized the scope was too large. I had spent the most time with msdfgen and hadn’t yet learned enough about the other libraries to write a proper guide. They all worked differently. I kept getting stuck. So I reduced the scope. In redesign 2 I decided to only use msdfgen, but show the various tradeoffs involved (atlas size, antialias width, shader derivatives, smoothing function).
L1层（物理层）的部分功能将运行在GPU上，通过CUDA加速实现实时信号处理；L2层（MAC层）的调度算法将基于英伟达的AI框架进行优化；网络切片和资源管理依赖于英伟达的Aerial SDK；甚至运营商的运维团队都需要掌握CUDA编程才能调优网络性能。
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