Empire AI: Cornell call for compute resource proposals
Cornell faculty can access Empire AI’s advanced GPU clusters to accelerate computationally intensive AI research across diverse scientific fields.
Funder: Cornell University
Due Dates (Anticipated): August 2026 (submission window opens) | September 2026 (final deadline, midnight ET)
Funding Amounts: Compute allocations only; typical allocations are up to 700,000 Service Units (SUs) per project for up to 12 months. No direct monetary award.
Summary: Provides Cornell faculty with access to Empire AI's advanced GPU clusters (Alpha & Beta) to accelerate AI research requiring high-performance computational resources.
Key Information: Applicants must submit both the Empire AI and Cornell forms to be considered; demand is expected to exceed available resources.
Description
Empire AI is a New York State consortium of leading research institutions—including Cornell University—dedicated to advancing artificial intelligence research for the public good. This call invites Cornell-affiliated faculty to apply for allocations of advanced GPU compute resources on the Empire AI cluster, specifically on the upgraded "Alpha" and new "Beta" machines. The initiative supports AI research projects that require significant computational power, offering access to state-of-the-art H100 and B200 GPUs, high-speed networking, and large-scale storage. Allocations are designed to empower a broad range of AI-driven research, from machine learning and natural language processing to scientific discovery and health applications.
