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SSD30015542918346760162.22.1 BERT Large – Wikipedia/Books Corpus GPU序列长度批量大小/GPU:混合精度,TF32梯度累积:混合精度,TF32吞吐量 – 混合精度P4d/p3dn 混合精度加速P4d/p3 混合精度加速 112864,641024,10243722.22.8 412864,64256,256149323.3 812864,64128,12829362.12.9 ...
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除了外型以外,比较表还列出了M4 Mac mini有M4芯片与M4 Pro芯片可以选择,规格的话CPU最高14核心、GPU最高20核心、内存最高64GB、容量最高则是8TB。 与目前的M2 Pro最高规格相比,CPU从12核心增加到14核心、GPU从19核心增加到20核心,存储器从最高32GB增加到64GB,而SSD储存容量最高都是8TB没有增加。
每个Trn1实例支持高达8TB的本地NVMe SSD存储,可快速访问大型数据集。Amazon Trainium支持多种数据类型(FP32、TF32、BF16、FP16 和可配置的 FP8)和随机舍入。随机舍入是一种概率舍入的方法,与深度学习训练中经常使用的传统舍入模式相比,性能更强,准确度更高。Amazon Trainium还支持动态张量形状和自定义运算符,...