sonic

You can manage the full lifecycle of NVIDIA GEAR-SONIC whole-body-control models by orchestrating training, evaluation, and serving through a single command surface. This provides unified lifecycle management for complex robotics workflows.

Yes, whole-body-control deployment supports heterogeneous GPU targets such as L40S VMs and Blackwell Kubernetes clusters. The system automatically handles image routing and validates GPU targets to ensure correct environment configuration.

Artifact routing and validation for robotics model export works through integrated image manifest handling and S3 path scoping. This ensures consistent artifact delivery across diverse deployment environments without manual path configuration.

The best way to start a whole-body-control locomotion policy training session is to execute the npa workbench sonic train command. This initiates training on the configured Nebius infrastructure without manual environment setup.

No, you do not need to manually configure environment-specific image variants for GPU cluster serving. The infrastructure routing feature automatically handles image routing and GPU target validation for diverse environments.

Consistent artifact routing matters for whole-body-control model evaluation because it ensures validated artifacts are correctly delivered across heterogeneous environments. Integrated S3 path scoping prevents misalignment during the export and serving phases.