Meta emphasizes the importance of minimizing hardware failure interruptions in large-scale model training through rigorous testing, quality controls, and automated issue detection and remediation.
Meta's focus on robust, high-speed network infrastructure and efficient data transfer protocols aims to mitigate slowdown issues that arise from slow data exchanges between subsets of GPUs.
To enhance AI advancements, Meta is building two 24k-GPU clusters to tackle the challenges of real-time voice translations, language processing, and augmented reality.
Meta's experience with RoCE and InfiniBand led to the decision to create two distinct clusters, optimizing for both technologies' strengths and addressing their previous limitations.
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