Develop High-Performance GPU Kernels in C++ with NVIDIA CUDA Tile
26 May 2026 at 21:40
NVIDIA CompileIQ tackles one of the hardest problems in performance engineering: finding the compiler options that unlock the best performance for a specific workload. Consider a team that has spent weeks optimizing an LLM inference pipeline on GPUs, tuning batch sizes, quantizing to FP8, adopting flash attention, fusing every kernel they can. The profiler says thereβs nothing left to squeeze.