Meta首次发布自家训练芯片，内置网络接口芯片和通信卸载引擎，性能优于通用GPU，适合训练推荐模型。
Meta发布MTIA 300训练芯片，内置网络接口芯片和通信卸载引擎，专为训练排名和推荐模型优化。与通用GPU相比，MTIA 300在训练推荐模型时的通信需求方面表现出色。
MTIA 300: Meta’s First Training Chip with Built-in NICs and Communication-Offloading Engines
MTIA 300 is the first of Meta’s family of in-house training and inference accelerators optimized for training ranking and recommendation models. We’re sharing how MTIA 300’s built-in NIC chiplets allow it to meet the communication needs associated with training recommendation models with superior performance over general-purpose GPUs. By co-designing MTIA’s communication library, HCCL, alongside the [...] Read More... The post MTIA 300: Meta’s First Training Chip with Built-in NICs and Communication-Offloading Engines appeared first on Engineering at Meta .