Provider-neutral
Deployments use the models and infrastructure that fit the work, not the technology that is easiest to promote.
Why Give
Compute exists.
Give Compute turns powerful AI models into deployed public infrastructure for organizations serving the public good.
Powerful models are becoming open. Operational AI capability is not.
A released model does not select itself, prepare an organization's knowledge, secure its data, deploy its infrastructure, train its staff, or keep itself working.
That entire gap is Give Compute.
We identify the organizational need, prepare data, select models and infrastructure, engineer the system, evaluate it, deploy it, train the people who use it, and establish ongoing support.
Compute, hardware, API capacity, funding, and technical expertise are tools. The mission is a useful AI capability that the organization can control and operate.
Trust has to be earned.
Independent
Review standards, conflicts of interest, and allocation decisions are governed for public benefit.
Controlled
Each organization has meaningful control over its AI capability, data, access, operating decisions, and exit path.
Transparent
Commitments, deployments, utilization, project outcomes, and lessons are published whenever responsible disclosure permits.
Durable
Training, documentation, maintenance, evaluation, and responsible retirement are part of delivery—not afterthoughts.
Evidence-led
Success is measured by a useful, supportable capability and public benefit—not donated capacity or deployment count alone.