1. [Home](https://www.g2.com/)
2. ...
3. [AWS Marketplace Software](https://www.g2.com/categories/aws-marketplace)
4. [AISE TensorFlow 1.10 Python 3.6 CUDA 9.2 Production Discussions](https://www.g2.com/products/aise-tensorflow-1-10-python-3-6-cuda-9-2-production/discuss)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_73cf29254a0f7784dc0e8470e88693d2/aise-tensorflow-1-10-python-3-6-cuda-9-2-production.png "Product Avatar Image")
](/products/aise-tensorflow-1-10-python-3-6-cuda-9-2-production/reviews)

[

AISE TensorFlow 1.10 Python 3.6 CUDA 9.2 Production

](/products/aise-tensorflow-1-10-python-3-6-cuda-9-2-production/reviews)

0 ratings

The AISE TensorFlow 1.10 Python 3.6 CUDA 9.2 Production AMI is a pre-configured Amazon Machine Image designed to streamline the deployment of deep learning applications on AWS. It integrates TensorFlow 1.10 with Python 3.6 and CUDA 9.2, providing a ready-to-use environment that eliminates the complexities of manual setup. This AMI is optimized for high-performance computing, enabling developers and data scientists to efficiently build, train, and deploy machine learning models on Amazon EC2 instances. Key Features and Functionality: - Pre-Configured Environment: Combines TensorFlow 1.10, Python 3.6, and CUDA 9.2, reducing setup time and potential configuration errors. - High-Performance Computing: Optimized for Amazon EC2 instances, particularly C5 and P3 types, to accelerate deep learning workloads. - Scalability: Supports distributed training across multiple GPUs, facilitating the development of complex models. - Compatibility: Ensures seamless integration with AWS services and tools, enhancing the overall development experience. Primary Value and Problem Solved: This AMI addresses the challenges associated with setting up a deep learning environment by providing a fully configured and optimized platform. Users can focus on developing and deploying machine learning models without the overhead of managing dependencies and configurations. The integration of TensorFlow 1.10 with CUDA 9.2 ensures compatibility with NVIDIA GPUs, enabling efficient utilization of hardware resources for accelerated training and inference processes.

Show More

When users leave AISE TensorFlow 1.10 Python 3.6 CUDA 9.2 Production reviews, G2 also collects common questions about the day-to-day use of AISE TensorFlow 1.10 Python 3.6 CUDA 9.2 Production. These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion.

* * *

### 0.0

Nps Score

### All AISE TensorFlow 1.10 Python 3.6 CUDA 9.2 Production Discussions

Search

Most CommentedMost HelpfulCommon QuestionsNewest

All DiscussionsDiscussions with CommentsCommon QuestionsDiscussions without Comments

FilterFilter

Filter byExpand/Collapse 

Sort by

Most Commented

Most Helpful

Common Questions

Newest

Filter by

All Discussions

Discussions with Comments

Common Questions

Discussions without Comments

Sorry...

There are no questions about AISE TensorFlow 1.10 Python 3.6 CUDA 9.2 Production yet.

## Start a New Software Discussion

Have a software question?

Get answers from real users and experts

[Start A Discussion](/products/aise-tensorflow-1-10-python-3-6-cuda-9-2-production/discussions/new)

* * *

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_73cf29254a0f7784dc0e8470e88693d2/aise-tensorflow-1-10-python-3-6-cuda-9-2-production.png "Product Avatar Image")

### Have you used AISE TensorFlow 1.10 Python 3.6 CUDA 9.2 Production before?

Answer a few questions to help the AISE TensorFlow 1.10 Python 3.6 CUDA 9.2 Production community

[
Yes
](javascript:void(0))[
Yes
](https://www.g2.com/login?context=product_review&return_to=https%3A%2F%2Fwww.g2.com%2Fproducts%2Faise-tensorflow-1-10-python-3-6-cuda-9-2-production%2Fdiscuss%3Fsmall_ask%3Daise-tensorflow-1-10-python-3-6-cuda-9-2-production)
No