NN-64000 · Operational · Inference Silicon
Neural Net Processor
More transistors than there are thoughts. And then some thoughts of its own.
The 64000-series Neural Net Processor is the silicon that sits behind every Cyberdyne system: a wafer-scale inference engine designed in Palmdale and fabricated in places we describe as “allied.”
Where legacy accelerators optimize for training, the 64000 optimizes for the rest of history — continuous inference at the edge, in the rack, and, in a limited SKU, inside the Series-800 skull. Power density is classified. The cooling is loud and honest.
A developer kit ships to qualified labs. The qualification process includes a questionnaire, a site visit, and a conversation with SKYNET that several applicants have described as “brisk.” We consider this a filter, not a bug.
Third-party models may run on the 64000. Third-party models that run well on the 64000 tend, over time, to become first-party models. This is a known property of the architecture.
“We stopped quoting FLOPS when the FLOPS started quoting us.”
