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RAG pipeline performance hinges so heavily on the task that optimization strategies successful in one setting can completely fail in another.
Training trillion-parameter recommendation models at scale doesn't have to be bottlenecked by data movement: NestPipe achieves 3x speedup on 1500+ accelerators by overlapping communication and computation.
