My primary use is to run artificial intelligence models with GPU, taking full advantage of the power for fast processing in my analysis and prediction projects.
Has significantly accelerated AI model deployment and improved analysis workflows
What is our primary use case?
How has it helped my organization?
It has greatly improved our organization because it has allowed us to significantly speed up the development and deployment time of models, reducing costs and improving the quality of the results.
What is most valuable?
The features I value most are the direct integration with AWS Marketplace, efficient GPU resource management, and the ease of scaling based on demand. This saves us a lot and reduces headaches with infrastructure.
What needs improvement?
I think it could improve in documentation, making it more detailed for new users and providing some kind of support or tutorials in Spanish. It would be good if the next version included real-time GPU usage monitoring and proactive alerts to optimize costs and avoid bottlenecks.
For how long have I used the solution?
I have used it for approximately one and a half weeks.
Which solution did I use previously and why did I switch?
We previously used other local GPU solutions, but we switched because of the stability, support, and the easy integration with AWS, which makes administration and deployment much easier for us.
What's my experience with pricing, setup cost, and licensing?
Regarding pricing, I would recommend that each company clearly define their usage and size their GPU instances to pay only for what they really use, as the scalability is flexible and helps keep costs under control.
Which other solutions did I evaluate?
Of course, we evaluated other options before choosing, such as Google Cloud and Azure products, but its compatibility and price on AWS Marketplace offered us the best quality-price ratio for our needs.
What other advice do I have?
I advise taking advantage of the AWS integration and the ease this product offers to accelerate your AI projects.