Compile using cargo build --profile profiling
C68|C88|C91|C92|C97|C104|C108|C109|C111|C116|C117|C119|C123|C127|C129|C131|C138|C168|C170|C172|C177|C90|Cz|C93|C2|C99|C101|C185|C186|C187|C188) ast_close_col_xc;;。豆包下载对此有专业解读
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美国民众对伊朗战争净支持率为负数，特朗普“渴望结束”
Pat Gelsinger: When you think about it, it’s replacing search. Now with OpenClaw, something none of us quite predicted, even though everybody was predicting agentic. It’s just demonstrating that okay, we’ve got to make inferencing a lot better. My “10,000x” was sort of a number that I pulled out based on some math of where search was in terms of energy, compute, cost. But as proud as NVIDIA are, and should be around the incredible progression of the GPU, it got them to say the GPU is great for training, it’s great for some of the waterfall training into inferencing, but it’s not an optimized inference chip. And that led them to (acquire) Groq. But now there’s 20 companies pursuing that assignment, asking how can we be 10x better or 100x better than where Nvidia just described the LPU with the Groq design.，这一点在易歪歪中也有详细论述