IT Leaders

Manage team and configure

resources flexibility

In the past, it’s hard to keep track of each teams' needs and environment settings. Also, the hardware, resources, and GPU usage are unsure.

Now, You can equip and enable data teams with the tools and resources they need as easy as pie. And easily deploy the model within an hour.

In the past, it’s hard to keep track of each teams' needs and environment settings. Also, the hardware, resources, and GPU usage are unsure.

Now, You can equip and enable data teams with the tools and resources they need as easy as pie. And easily deploy the model within an hour.

Let us help you manage today and make tomorrow decision

PrimeHub gives IT leaders flexibility and administration authority to configure resources and settings for their teams to pave the way and manage productionized workloads.

With our solution, you will...

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

your resources

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.

Authority Management

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.

Changelog Review

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.

IT Department, Chimei Medical Center

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