---
title: AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook Reviews
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  Pricing, & Features | G2'
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  rating_value: 3.9
  review_count: 4
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date_modified: '2026-07-12'
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# AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook Reviews
**Vendor:** Jetware  
**Category:** [AWS Marketplace Software](https://www.g2.com/categories/aws-marketplace)  
**Average Rating:** 3.9/5.0  
**Total Reviews:** 4
## About AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook
The AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and deep learning applications. It combines TensorFlow 1.8, Keras, Python 3.6, and Jupyter Notebook, all optimized for NVIDIA GPU acceleration using CUDA 9.1 and cuDNN. This setup provides data scientists and developers with a ready-to-use platform, eliminating the complexities of manual installation and configuration. Key Features and Functionality: - TensorFlow 1.8 and Keras Integration: Leverage the power of TensorFlow 1.8 and Keras for building and training sophisticated machine learning models. - Python 3.6 Support: Utilize Python 3.6, ensuring compatibility with a wide range of libraries and tools. - Jupyter Notebook Interface: Develop and test code interactively using the browser-based Jupyter Notebook environment. - GPU Optimization with CUDA 9.1 and cuDNN: Achieve accelerated computation and reduced training times through NVIDIA GPU support, facilitated by CUDA 9.1 and cuDNN. - Pre-configured Environment: Benefit from a fully integrated setup that minimizes installation hassles and ensures compatibility between components. Primary Value and Problem Solved: This notebook addresses the challenges associated with setting up a machine learning environment by providing a seamless, ready-to-use platform. Users can focus on developing and deploying models without the overhead of configuring software dependencies or optimizing for GPU performance. This streamlined approach enhances productivity and allows for rapid experimentation and iteration in machine learning projects.




## AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook Reviews
  ### 1. Machine Learning Models training using Cuda 9.1

**Rating:** 3.0/5.0 stars

**Reviewed by:** Muhammad H. | Associate Software Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** December 10, 2021

**What do you like best about AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook?**

Library are there as most of the hassle free work is done through them

**What do you dislike about AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook?**

More libraries should be part of this so productivity increases.

**What problems is AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook solving and how is that benefiting you?**

Textual data labelling like sentiments labelling


## AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook Discussions
  - [What is AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook used for?](https://www.g2.com/discussions/what-is-aise-tensorflow-1-8-python-3-6-cuda-9-1-notebook-used-for)

- [View AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook pricing details and edition comparison](https://www.g2.com/products/aise-tensorflow-1-8-python-3-6-cuda-9-1-notebook/reviews?filters%5Bnps_score%5D%5B%5D=3&section=pricing&secure%5Bexpires_at%5D=2026-08-07+21%3A40%3A29+-0500&secure%5Bsession_id%5D=3503bfeb-38d4-4c79-bb36-ab7ed2f3c169&secure%5Btoken%5D=81036612410891e965f5bbaf0fb5ea41e877167d11392b608400a02af7955596&format=llm_user)

## AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook Features
**Agentic AI - AWS Marketplace**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration

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