Build and deploy your AI or ML model with Vertex AI.
April 18, 2024

Build and deploy your AI or ML model with Vertex AI.

Edwin Leonard | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Vertex AI

Vertex AI is a very useful tool for us, it simplifies automation by consolidating functionalities for engineers and data scientists, aiding in model deployment, tweaking and monitoring. It also allows gpu allocation for cost management and is compatible with Google Cloud services, plus it has a user friendly interface and robust documentation. Lastly just like any other google service, it is both scalable and ideal for team collaboration which makes it a very valuable tool for AI development.
  • It simplifies automation by consolidating functionalities at one place.
  • Can allocate cpu, gpu and memory for cost management.
  • Friendly interface and has very good documentation.
  • Compatible with google cloud services and is scalable.
  • Though we can manage our cost by manually allocating resources, it is still very costly and should reduce or change their pricing structure.
  • Less customization so if you're an advanced user, you may face some limitation.
  • It consolidated all the functionalities in one place for AI and ML development.
  • Scalable and compatible with google cloud services.
  • Though we can manually allocate resources, it is still very costly.
It has limited customizability and so if you want to develop some simple ML models then you won't face any problem but if you're an advanced user you may face some limitation.

Do you think Vertex AI delivers good value for the price?

Not sure

Are you happy with Vertex AI's feature set?

Yes

Did Vertex AI live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Vertex AI go as expected?

Yes

Would you buy Vertex AI again?

Yes

We needed to build some ML models and Vertex AI is one such place where all the functionalities are consolidated for model deployment, tweaking and monitoring. And although it is costly, it is compatible with google cloud services and is scalable which makes it the perfect tool for us.