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The evolution of hyperscale data center infrastructure to support the processing of trillions of parameters for large language models has created some rather substantial design challenges. These massive processing facilities must scale to hundreds of thousands of accelerators with highly efficient and fast connections.… Read More
The explosive growth of large language models (LLMs) has created substantial new requirements for chip-to-chip interconnects. These very large models are trained in high-performance data centers. Multiple accelerators need to work seamlessly to make all this possible as the bandwidth between accelerators directly impacts… Read More
