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 maintaining the reliability of AI hardware, focusing on the impact of hardware faults and silent data corruptions.
Meta has shared insights into its approach to ensuring the reliability of AI hardware. Hardware faults can significantly affect AI training and inference, particularly through silent data corruptions (SDCs), which are undetected data errors that can compromise the accuracy of AI systems. This reliability is crucial for maintaining the integrity of data used in training and the outputs generated by AI models.