Adoption constraints: Adoption depends on power envelope, thermal design, software integration and robot production timelines.
Market position: Robotics compute layer beneath humanoids, AMRs and industrial robots; not a finished robot platform.
Adjacent products: Project GR00T, Isaac, edge AI compute modules
Audience
Robot OEMs
Workflow
On-robot AI inference, perception, control, foundation-model execution and edge compute.
Deployment environment
Humanoids, mobile robots, industrial robots and edge robotics systems.
Specifications
Architecture: NVIDIA Blackwell GPU-based edge AI compute platform
Deployment: Onboard physical-AI and humanoid robotics compute
AI Performance: Up to 2070 TFLOPS FP4 sparse
Gpu: 2560-core NVIDIA Blackwell architecture GPU with fifth-generation Tensor Cores and MIG
Cpu: 14-core Arm Neoverse-V3AE 64-bit CPU
Cpu Max Frequency: 2.6
Memory: 128 GB 256-bit LPDDR5X
Memory Bandwidth: 273
Storage: 1 TB NVMe M.2 Key M slot on developer kit; module supports NVMe through PCIe and SSD through USB 3.2
Msrp: Jetson AGX Thor Developer Kit $3,499.00; NVIDIA Marketplace page marked out of stock
Camera Io: HSB camera via QSFP slot, USB camera, up to 20 cameras via HSB, up to 6 cameras through 16 lanes MIPI CSI-2, up to 32 cameras using virtual channels