Enterprise Knowledge Search
Now, researchers can skip the technical complexity, giving them more time to focus on what they do best—finding solutions to the world’s biggest problems.
Reported impact
70% of researchers strengthened their positions for grants and proposals; 67% achieved significant time savings and research acceleration; 60% successfully completed a major component of their core research; 200+ researchers launching more than 80 projects in the first year
Now, researchers can skip the technical complexity, giving them more time to focus on what they do best—finding solutions to the world’s biggest problems. They can reach the Gemini platform, reserve compute engines using processing power from Google’s AI Hypercomputer , and access over 200 models in the Model Garden , providing integrated infrastructure to speed the time to science. Key components include AI Hypercomputer runs serverless or virtualized application services with elastic scale for production AI workloads; Gemini platform coordinates multi-agent workflows, tool calling, and governed automation across the application; Compute Engine runs serverless or virtualized application services with elastic scale for production AI workloads. Reported outcomes include 70% of researchers strengthened their positions for grants and proposals; 67% achieved significant time savings and research acceleration; 60% successfully completed a major component of their core research.
60% successfully completed a major component of their core research
67% achieved significant time savings and research acceleration
70% of researchers strengthened their positions for grants and proposals
As the largest federated system of higher education in the United States, the State University of New York (SUNY) spans 64 campuses, including four premier R1 research institutions, two medical universities, and nine…
The State University of New York’s AI platform, built on Google Cloud, accelerates discovery, paving the way to double research volume.
To empower its community safely, SUNY developed the SUNY AI Platform in partnership with Google Cloud. This system-wide, secure, and scalable ecosystem provides access to cutting-edge AI technologies, high performance…
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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