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Synthetic Simulation Pipelines for Embodied AI

Design high-fidelity simulation stacks that combine physics accuracy, procedural scene generation, and language-driven scenario scripting to accelerate robotics training.

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9. Infrastructure and Scaling

Scaling simulations across clusters demands robust infrastructure.

  • Use container orchestration (Kubernetes, Nomad) to manage simulation workers.
  • Schedule workloads based on priority (research experiments vs. production data generation).
  • Implement cost controls: monitor GPU utilization, preempt idle workloads, and recycle resources.
  • Provide self-service portals for researchers to request simulation runs with pre-set quotas.
  • Cache frequently used scenarios and leverage content delivery networks for asset distribution.
Section 9 of 14
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