AI Infrastructure / Deterministic AI / LLM Layer
CIYA is a deterministic storage and logic engine for LLMs, presented as a front layer that keeps AI interactions running across cloud, on-prem, and air-gapped setups.
The page clearly presents a real AI infrastructure product with a specific purpose: a deterministic layer for LLMs that claims lower token costs, legacy hardware support, air-gapped operation, and audit trails. The snapshot includes product framing, usage commands, and a visible public portal, which is enough evidence for a directory listing.
The crawl does not show technical architecture, supported LLMs, pricing, or any documentation beyond basic command hints, so it is hard to judge how the system works or who can integrate it.
Last evaluated 8 days ago. Current rank #1762. Up 1 spot in the rankings.
Anthropic’s research preview introduces the Model Hardware Standard (MHS), a shared spec for AI agents to control physical devices and orchestrate lab or manufacturing equipment. The page explains how the standard works, shows early lab examples, and positions it as an upcoming open source standard for hardware integra
AletheionAGI is a grounding and memory layer for production AI. It adds persistent context, authorized evidence, and fail-closed delivery so AI systems can block unsupported claims before they reach users.
A GitHub repository guide to running state-of-the-art LLMs on local hardware, with concrete build notes, cost breakdowns, and runnable configs for large models.
