Custom Cuda Kernel Integration And Optimization

Microsoft's distributed training library — ZeRO optimizer, trillion-parameter scale, RLHF.

Unique: Framework for integrating custom CUDA kernels with automatic gradient computation; handles kernel fusion and memory optimization while maintaining PyTorch autograd compatibility

vs others: More flexible than built-in operators for custom optimizations; better performance than pure Python implementations