Best suitable solution for ML and AI based applications.
January 14, 2022
Best suitable solution for ML and AI based applications.
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with Azure Data Science Virtual Machines (DSVM)
I am using the Azure DSVM for [an ]AI-based product on which my company is working. We are looking for a machine [that] can be used to train AI models and have a maximum throughput with highly saleable options. The Azure DSVM provides all the functionalities which we are currently using in the organization.
- Machine Learning
- Power BI
- Data Warehouse
- Azure DSVM pricing must be reduced so that an AI-based start-up can use the Azure DSVM.
- Azure must create an environment to use Azure DSVM offline as well.
- Lack of frameworks
- Azure DSVM is little costly with long term support for ML based environments.
- Azure DSVM is very good for short tasking and costs us [a] little low than the on-prem server.
- [Scaling] option is very convenient.
Azure DSVM provides [many] cost-effective solutions rather than using the Amazon SageMaker. Amazon products are a little more detailed products but this detailing is [a] little costly in comparison to the Azure. Azure DSVM is way more controlled than the Amazon SageMaker and it is very cost-effective as compared to Amazon SageMaker. We are already managing Aure services so we explored the Azure DSVM which turned out [to] be a good choice.
Do you think Azure Data Science Virtual Machines (DSVM) delivers good value for the price?
Yes
Are you happy with Azure Data Science Virtual Machines (DSVM)'s feature set?
Yes
Did Azure Data Science Virtual Machines (DSVM) live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Azure Data Science Virtual Machines (DSVM) go as expected?
Yes
Would you buy Azure Data Science Virtual Machines (DSVM) again?
Yes