Manage team and configure
PrimeHub gives IT leaders flexibility and administration authority to configure resources and settings for their teams to pave the way and manage productionized workloads.
Build powerful custom images from what your data scientists need
Administrators can manage environments, set resource limits, manage datasets, and create secrets for their team through PrimeHub's powerful admin console. With our Image Builder feature, administrators are able to build up a variety of docker-image resources which are pre-installed/pre-configured with various tools/libraries for data scientists to accelerate project development.
Allocate and configure
Maintaining and restricting dataset access is made easy with our Dataset Management feature. We provide capabilities such as creation, deletion, edition and management of dataset resources, while the permission control feature allows only the designated groups to access the specified datasets accordingly.
Data scientists sometimes have time-consuming tasks that run sequentially. Since such tasks take considerable time to complete, users are not able to engage with the entire progress. In this case, Job Submission can be used to create jobs consisting of sequential tasks and submit them for execution in the background as data scientists monitor the progress through the logs.
For routine jobs that need to be run on a schedule, schedule them with the Job Scheduler to avoid delays caused by re-implementing work in production systems. In this way, your business gets value faster, your resources aren't wasted, and you can still monitor and iterate production models to drive greater impact.
The PrimeHub helps us to perform system management tasks easily and efficiently, and it even allows us to deploy AI models online in an hour.
All admin tasks can be performed easily and automatically on the PrimeHub platform, which can save 6,000 students x 8 hours of configuration time, and helps nurture AI elites for Taiwan.
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InfuseAI builds MLOps tools to streamline ML and data workflow. By improving the iterative process of data science, data teams can collaborate and innovate better. InfuseAI is trusted by research institutes and leaders in industries including FSI, manufacturing, and healthcare.