How Meta Keeps Its AI Hardware Reliable
Jul 22, 2025
Sources: https://engineering.fb.com/2025/07/22/data-infrastructure/how-meta-keeps-its-ai-hardware-reliable/, Meta
How Meta Keeps Its AI Hardware Reliable
Meta discusses its methodologies for ensuring the reliability of AI hardware, focusing on the impact of hardware faults and silent data corruptions.
Meta has shared insights on maintaining the reliability of its AI hardware, emphasizing the significant effects that hardware faults can have on AI training and inference. Silent data corruptions (SDCs), which are undetected data errors caused by hardware, pose a particular risk to AI systems that depend on accurate data. Ensuring the integrity of data is crucial for both training AI models and generating reliable outputs.