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service deployments, or publications in AI/science venues. Experience with GPUs and performance optimization of ML at scale. Familiarity with containerization and HPC workflows. For full consideration
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infrastructure supports the diverse needs of over 2,500 researchers in the six UC Davis colleges and schools, totaling some 48,000 CPUs, over 200 GPU nodes, and dozens of petabytes in user data storage. Each
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and GPUs) or cloud. Proficiency with high performance computing and system architecture. Advanced skills and experience associated multiple of the following: artificial intelligence; method and machine
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