A city marching-band warehouse intern offers to write a CUDA kernel to train boosted trees on the GPU table. What should they use instead?
Select an answer to reveal the explanation.
Short Explanation
Decline the CUDA kernel. Associate depth uses the official GPU-aware XGBoost or RAPIDS path. NCCL tree-growing and a Megatron fine-tune are the wrong stack for a warehouse table.
Full Explanation
Associate depth uses named RAPIDS and GPU-aware XGBoost tools. Writing a CUDA kernel to grow trees is Professional work and out of scope. NCCL collectives and an LLM fine-tune are the wrong stack for a tabular tree fit. Decline the kernel and use the official GPU path.