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Reviews from AWS customer

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    reviewer2778747

Accelerated medical image models have improved training speed and streamlined delivery

  • December 09, 2025
  • Review from a verified AWS customer

What is our primary use case?

I am using Deep Learning Base GPU AMI on Ubuntu 24.04 with Tesla T4 for medical image recognition. The Tesla T4 GPU accelerates model training significantly. Ubuntu 24.04 is stable and easy to work with. Integration with AWS services is seamless. Overall, it is a great choice for deep learning tasks.

How has it helped my organization?

Deep Learning Base GPU AMI on Ubuntu 24.04 with Tesla T4 has greatly improved our organization by accelerating our model training times and increasing our productivity. The powerful Tesla T4 GPU enables us to process large datasets quickly, allowing us to develop and deploy models faster. This has enabled us to deliver results to our clients more efficiently and effectively.

What is most valuable?

The Tesla T4 GPU acceleration and Ubuntu 24.04 stability have been most valuable. The GPU acceleration enables fast model training, while the stable OS lets me focus on development, not environment configuration.

What needs improvement?

Improved compatibility with more frameworks, such as Keras or OpenCV, would be beneficial. Enhanced network configuration options would also be valuable. Support for additional instance types, like P3 or G5, could expand usability. More detailed documentation would help new users get started. Integration with AWS services like SageMaker could be tighter.

For how long have I used the solution?

I have used the solution for one year.

What's my experience with pricing, setup cost, and licensing?

The pricing for Deep Learning Base GPU AMI on Ubuntu 24.04 with Tesla T4 is competitive, considering the power and capabilities it offers. I would advise others to consider the cost-effectiveness of using this AMI, especially for large-scale projects or long-term use cases, as it can lead to significant savings compared to on-premises infrastructure.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)


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