Pick-and-place next to the arm
Vision and control stay on the cell. No rented hop in the loop.
deployment · tomorrow · Where should robot-cell inference run?
On the cell. TARX_OS first. T-7 Supercomputer for the cell or humanoid. IP65. Nothing attaches from first-run setup. Milliseconds, not a round trip. Video and weights stay on the floor. Join on the computers already in the program, or get a T-7 when the cell needs dedicated NVIDIA and field I/O.
Milliseconds, not a round trip. Video and weights stay on the floor.
TARX works privately on your computer. Connections stay off until you allow them.
Human funnel: Robotics →

A robot cell that calls the cloud is a latency product and a leak. Inference belongs next to the arm. TARX_OS is the approval model. T-7 is the local brain: IP65, GMSL2 cameras, the cell, including Macs already on the floor.
Nothing attaches from first-run setup. A dark cell is a valid deployment. T-4 is indoor / vehicle — the wrong enclosure for the floor. T-7 is the field box.
Pick-and-place, humanoid weights, closed-loop control: same OS as the desk. Same Evidence. That is how TARX works in this sector.
TARX_OS on computers you already own. Supercomputer hardware when the site needs dedicated NVIDIA.
Vision and control stay on the cell. No rented hop in the loop.
Local TARX_OS inference. Same OS as the desk. Same approval.
Disconnected capable. Attach is not claimed from first-run setup.
01
TARX_OS first.
02
No cloud in the control path.
03
IP65. GMSL2. Not T-4.
04
A dark cell is allowed.
No. Nothing attaches from first-run setup.
The cell needs field I/O and the IP65 enclosure. T-4 is indoor / vehicle.
No. Video and weights stay on the floor.
No. We do not claim a live mesh.
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