How the NVIDIA Vera Rubin Platform is Solving Agentic AI’s Scale-Up Problem | NVIDIA Technical Blog

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This post introduces the NVIDIA Vera Rubin platform, highlighting its solution to agentic AI's scale-up problem through the integration of NVIDIA Groq 3 LPX LPUs with LPU C2C technology. It details how LPU C2C achieves deterministic, low-latency, high-throughput inference for trillion-parameter MoE models by employing high-radix point-to-point links, compiler-scheduled data movement, and hardware-driven plesiosynchronous timing. This enables thousands of LPUs to operate as a single coherent system, addressing the unique demands of agentic workloads that require predictable scale-up networking.