Student operator fellowships
Support direct student participation, stipends, and the operator training time required to move learners from exposure to execution.
Support AARI
Help build the AI infrastructure workforce pipeline.
AARI is training HBCU students and underrepresented learners to become operators of the AI infrastructure stack: energy, chips, data centers, GPUs, cloud, edge AI, robotics, and quantum systems.
Lab equipment and edge hardware
Fund the compute, embedded systems, sensors, robotics kits, and lab hardware students need to work on real infrastructure and physical AI systems.
Curriculum and technical instruction
Back curriculum development, technical leads, and structured instruction across cloud, security, AI infrastructure, and production systems.
Robotics, quantum, and data center workforce programming
Expand the pipeline into robotics, quantum literacy, and data center workforce preparation with hands-on programming tied to real operator outcomes.