NVIDIA Feynman Interconnect: Solving Data Bottlenecks in Trillion-Parameter Training
BenBajarin · x · 2026-08-23
As we scale to trillion parameter models and gigawatt-scale training, the most interesting work happens across thousands of chips, making data movement a fundamental bottleneck for both training and inference. The author shares insights learned while working on NVIDIA's Feynman chip-to-chip interconnect technology.
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