Expanding access to the modern tools of discovery.
Scientific ambition is growing faster than the computing resources available to many researchers. The Schmidt Science Computing Network (SSCN) is a distributed network of advanced computing systems designed to help scientists work at previously unreachable scales and pursue discoveries that can contribute to a healthier, more sustainable world.
Funded by Schmidt Sciences and owned and operated by participating universities and research institutions, SSCN combines GPU computing, storage and networking with research software, skilled operations and scientific support. Its purpose is not simply to provide hardware, but to build scientific capability, software and expertise that can endure beyond any single generation of technology.
SSCN gives researchers the infrastructure, expertise and community needed to ask bigger questions and turn AI-enabled methods into rigorous, durable scientific progress.
Why now
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Scientific ambition is outpacing academic capacity.
Researchers increasingly need computing at a scale that individual teams cannot procure, operate or sustain alone.
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AI is changing how research is conducted.
Generative AI can accelerate coding and analysis, but breakthrough science still depends on domain knowledge, systems design, verification, scientific judgment and the long-term stewardship of shared software.
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Access increasingly shapes participation.
Scarce and expensive GPU capacity can determine which researchers, institutions and fields are able to pursue frontier questions.
Accessing the network
Access to SSCN will be provided through defined allocation processes managed by participating institutions and selected Schmidt Sciences programs. Specific access information and open opportunities will be published as individual SSCN systems and allocation pathways become available.
