Engineering focus
Selected embodied models and device-level task requirements.
NVIDIA Jetson Thor
Edge compute for advanced robot workloads. Selected embodied models and device-level task requirements.
Discuss a NVIDIA Jetson Thor programmePlatform engineering programme
NVIDIA Jetson Thor: Edge compute for advanced robot workloads.
Engineering on this platform.
Commissioned scope
Edge AI deployment · Vision language action adaptation · Mobile manipulation learning
Engineering focus
Commission NVIDIA Jetson Thor engineering for edge compute for advanced robot workloads. The contribution centres on selected embodied models and device-level task requirements.
Programmes to commission
- Edge AI deployment: Package and operate model tasks on selected edge compute devices.
- Vision language action adaptation: Adapt task-conditioned robot policies to selected embodiments and operating scenarios.
- Mobile manipulation learning: Connect navigation and manipulation in end-to-end physical task programmes.
Operating context
Compute and software choices assessed against useful model behaviour and the complete serving workload. The engagement identifies the selected components, interfaces and acceptance evidence. Relevant vendor terms and access arrangements follow the actual platform scope. A useful result connects platform behaviour to the enterprise task.
Platform context.
Bring the next
requirement.