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Documentation Index

Fetch the complete documentation index at: https://docs.nyc-ai.app/llms.txt

Use this file to discover all available pages before exploring further.

Empire AI logo
Empire AI is a statewide AI research consortium built to give public-interest researchers access to computing power that would otherwise be concentrated inside a small number of private technology companies. It combines New York State capital, university participation, and philanthropic backing to support large-scale AI and HPC work at the University at Buffalo. This section summarizes the Empire AI model, infrastructure, governance, access mechanics, and workforce programs using the materials you provided for this documentation project.
The official Empire AI site remains the authoritative public source for announcements and registered-user workflows. Use this section as a structured guide for CSI HPCC readers who need the Empire AI context in one place.

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What you will find here

Mission and vision

Why New York launched Empire AI and how the consortium is organized around AI for the public good.

Governance

Board composition, operating leadership, and member institutions.

Infrastructure

Alpha, Beta, and Gamma phases, Blackwell hardware, and storage architecture.

Access and allocations

Work Order Requests, ColdFront onboarding, Service Units, and Slurm queue guidance.

Research programs

Healthcare, climate, neuroscience, education, and model safety projects.

Workforce development

SUNY partnerships, microcredentials, and the AI Prep talent pipeline.

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Why Empire AI matters in this docs set

CSI HPCC already serves CUNY researchers who need shared compute, storage, and job orchestration. Empire AI extends that ecosystem with a much larger AI-focused facility, a formal consortium model, and a public-good mandate that emphasizes equitable access, workforce development, and research impact in medicine, education, climate, and energy. For many users, the practical question is simple: when does a workload fit local HPCC systems, and when does it require the scale, acceleration, or institutional workflow that Empire AI provides? The pages in this section give you the policy, infrastructure, and access context to answer that question.

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Follow Empire AI

  • Hugging Face — open models, datasets, and artifacts released by Empire AI.
  • X (Twitter) — announcements and program updates.
  • LinkedIn — institutional news, hiring, and partner activity.