[GPUd](https://www.gpud.ai/) is designed to ensure GPU efficiency and reliability by actively monitoring GPUs and effectively managing AI/ML workloads. Unlike CPUs, GPU failures and issues are common and can significantly impact training and inference efficiency. > "78% of unexpected interruptions are attributed to confirmed hardware issues, such as GPU or host component failures, or suspected hardware-related issues like silent data corruption and unplanned individual host maintenance events. GPU issues are the largest category, accounting for 58.7% of all unexpected issues." > > [*Reliability and Operational Challenges by Meta Llama team (2024)*](https://ai.meta.com/research/publications/the-llama-3-herd-of-models/) GPUd addresses these challenges by automatically identifying, diagnosing, and repairing GPU-related issues, thereby minimizing downtime and maintaining high efficiency.