Field notes.

An implant's 1,024 electrodes mean nothing without a decoder trained on the wearer's own neurons, and that decoder drifts, so it needs private, nightly retraining. Colorado, California and Montana class neural data as sensitive. A home GPU keeps model, data and latency with the person.

Synchron, Precision Neuroscience, Paradromics, Blackrock, Science Corporation, Merge Labs and a dozen more are chasing Neuralink with implants, retinal chips, ultrasound and wristbands. Every one of them ends in the same place: a personal model that must run close to the body.

Surgical arms, delivery robots and exoskeletons are hospital infrastructure; Diligent's Moxi alone has made over 1.25 million deliveries. Each is a networked machine with cameras among vulnerable people. Their shared intelligence belongs on the hospital's own roof, where it can be audited and governed by the hospital itself.

Humanoids from Figure, Apptronik and Agility are on plant floors, and Amazon runs more than a million robots. A fleet does not need to carry all its intelligence on its back; the safest place for its shared brain is on-site, behind one switch.

1X's NEO ships with remote human operators who can, by arrangement, see inside your home. A single local cortex, with cameras, models and the switch under one roof, is how a robot earns trust.

A bionic limb is only as good as the model translating its wearer's nerve and muscle signals into motion, and that model is personal and drifts with swelling, fatigue and electrode shift. Nightly retraining on the wearer's own data, at home, keeps the limb usable.

Mayo Clinic's on-premises Blackwell system compresses four weeks of pathology analysis into one across 20 million digitized slides, with physicians still making the final call. The strongest hospital AI runs on hardware the hospital owns.

Ansys, Cadence and Siemens now run their simulation tools on Blackwell GPUs, so a small engineering team can run in hours what once took a weekend. For a firm whose models, footage or client files are the business, an owned appliance beats metered cloud rental.

Qure.ai screens for tuberculosis at more than 2,600 sites; John Deere's See & Spray runs its vision entirely on the machine. Where the grid is thin, compute has to bring its own power.

Traffic signals, building controls, inspection drones and camera networks carry AI that acts on the physical world. Seven governments' joint guidance asks that such systems fail gracefully under human oversight. That means an auditable control core on the operator's own premises, with an off switch.