Carbon Connect
U.S. NSF grant to rethink the future of sustainable computing through research on efficient algorithms and datacenter operations.
Our Work
Our Projects
Original research, open infrastructure, and aligned projects we support across our four pillars.
Pillar
Topic
7 projects shownParallex
A democratized, incentivized, community-driven scientific computing framework powered by idle compute.
MLCommons Algorithmic Efficiency
Infrastructure for measuring improvements in neural-network training algorithms in collaboration with MLCommons.
Grounded Scientist
An open experimental-science system that helps researchers turn hypotheses into instrumented, reproducible tests against real systems.
JouleLedger
A request-aware measurement and modeling system for understanding energy use in shared large-language-model serving.
TechRefresh
An open framework for deciding when datacenter hardware should be refreshed under financial, energy, and lifecycle-carbon objectives.
Spatial ML Data Engine
A biology-native runtime for streaming synchronized images, cells, transcripts, molecular features, and graphs into spatial-omics models.
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