Horizon's pipeline is divided into three components: (1) timeline generation, which runs across thousands of CPUs; (2) training, which runs across many GPUs; and then (3) serving, which also spans thousands of machines. This workflow allows Horizon to scale to Facebook data sets. For on-policy learning (e.g., using OpenAI Gym), Horizon can optionally feed data directly to training in a closed loop.
Horizon's pipeline is divided into three components: (1) timeline generation, which runs across thousands of CPUs; (2) training, which runs across many GPUs; and then (3) serving, which also spans thousands of machines. This workflow allows Horizon to scale to Facebook data sets. For on-policy learning (e.g., using OpenAI Gym), Horizon can optionally feed data directly to training in a closed loop.
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