Summary
While current job postings for GPU kernel and LLM inference engineers still heavily list C++17, CuTe, and CUTLASS as requirements, NVIDIA is strongly advocating for CuTeDSL, a Python-based DSL in CUTLASS 4.x. CuTeDSL promises equivalent performance with benefits like no template metaprogramming, JIT compilation, faster iteration, and TorchInductor integration. This indicates a significant shift in the recommended development approach for new GPU kernels, already visible in projects like FlashAttention.
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