A deskside training box with 128 GB of coherent unified memory. In a robot-learning programme this is the machine that sits beside the capture rig: you post-train or fine-tune a policy on the demonstrations you just collected, then push the result to the Jetson on the robot.
Specifications
- Up to 1 petaFLOP of FP4 AI performance
- NVIDIA GB10 Grace Blackwell superchip
- 20-core Arm CPU (10× Cortex-X925, 10× Cortex-A725)
- 128 GB coherent unified LPDDR5x at 273 GB/s
- 4 TB self-encrypting NVMe storage
- ConnectX-7 200 Gbps networking for two-unit clustering
- 240 W power supply, 140 W chip TDP
- Includes a 90-day NVIDIA AI Enterprise licence
Where it fits
Layer 7 of the stack — see data & policy for how collected episodes become a trained policy.
See also teleoperation stations and the robotics hub.
