We had a STH user and went through creating a workspace.
That included selecting images from the catalog that was setup on the back-end.
We also had access to data sets and then our own storage.
We could also see what resources we had access to.
There was even an area to work with data including data annotation.
The entire setup is designed for training, but then also to take the output of training and transition it into production inference.
Since MotusAI is designed for enterprises, the system has the capability to set resource pricing, and then track billing to users and groups. Please note, we entered numbers just to make totals bigger on the back end.
As resources are consumed, the back-end keeps track of the jobs and billing for each.
For seeing what is driving costs, the MotusAI solution can also provide granular cost data down to the task. So if someone is using a lot of GPUs for a model-re-training task, for example, one can see how much that task is taking.
These are some of the features we normally do not cover when scaling AI into the enterprise as it is more than just the hardware.
Final Words
The idea behind MotusAI is at least twofold. First, the solution needs to keep the entire AI DevOps operation running. That has a lot going into it in terms of managing data, compute resources, users, models, security, and training sets while also running in a high-availability for high-uptime. The second is driving efficiency by helping to track costs and keeping jobs scheduled for higher utilization of compute resources. When we first got access to MotusAI we did not know what to expect. After using it, the solution makes sense since enterprises need software platforms to manage teams, data, and compute resources. Hopefully, folks found this useful to see a solution in this class.
This whole thing reads like an advertorial and doesn’t seem to match the same quality STH usually offers.
Not to mention the typo at the end where it looks like the copy/paste was cut off:
“These are the
Final Words”
The normally high quality of STH is lacking here, and the entire thing comes off as an advertisement.