SMRTR summary
As AI models grow to trillions of parameters, moving data between thousands of chips has become a critical bottleneck. The further data travels across hardware tiers, the slower and costlier it gets, and adding more compute doesn't help if communication can't keep up, often causing diminishing returns at scale.
SMRTR provides this summary for quick context. The original article belongs to Hacker News.
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