Best suitable solution for ML and AI based applications.
Rating: 8 out of 10
Use Cases and Deployment Scope
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.
Pros
- Machine Learning
- Power BI
- Data Warehouse
Cons
- 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
Likelihood to Recommend
Azure DSVM is useful in [a] Machine Learning environment where GPU-based processing is [required]. [The] most relevant [users] for the Azure DSVM is in ML/AI for model training and processing [high-end] CPU tasks with GPU compatibility. Azure DSVM is built for [a] startup to low medium IT environments where the ML/AI-based projects are [carried] out.
UM
Umair Mehboob
Senior Devops Engineer in Information Technology at iENGINEERING (51-200 employees)
Vetted Review
2 years of experience