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System on Chip design resources
System on Chip design resources
October 22, 2026 -
By Rudy Hoebeke, hpcwire.com
The artificial intelligence industry is obsessed with increasing speed and scale. Faster processors. Larger models. More GPUs. Bigger AI factories.
Yet the uncomfortable truth is that even small amounts of packet loss can significantly degrade the performance of some of the world’s most advanced and expensive computing resources.
That is the paradox at the heart of modern AI infrastructure.
The industry is assembling vast systems containing tens of thousands of GPUs, only to discover that their collective performance depends on their ability to communicate with extraordinary precision. The individual processor may be a technological marvel, but AI training is ultimately a team sport. During synchronized collective operations, progress is often gated by the slowest participant, so a delayed GPU or data transfer can hold up the group, and waiting is expensive.