Rethinking Datacenter Refresh
We optimize when datacenter components are replaced to reduce cost and carbon emissions.
Original research, open infrastructure, and aligned projects we support, all working toward AI that can scale sustainably.
We optimize when datacenter components are replaced to reduce cost and carbon emissions.
We benchmark neural-network training algorithms to identify faster, more efficient ways to train models.

We are improving energy accounting for language-model serving by connecting GPU measurements to individual requests.
We develop efficient algorithms and datacenter practices to reduce the environmental impact of computing.
We connect scientific workloads with idle computers to make research computing more accessible.

Bring us a research question, an infrastructure challenge, or an ambitious project where open engineering can make a difference.