Originally published at: How the NVIDIA Vera Rubin Platform is Solving Agentic AI’s Scale-Up Problem | NVIDIA Technical Blog
Agentic inference has fundamentally changed the runtime dynamics of inference workloads by introducing non-deterministic trajectories—actions, observations, and decisions that an AI agent produces while working through a task. These trajectories compound end-to-end latency across hundreds of inference requests per session. NVIDIA Vera Rubin NVL72 handles the bulk of that inference load as the core compute…
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