Sold by: Hanwei Software Technology
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support.
Overview
Include Deep Learning environment and provide jupyter notebook on web. Automatically starts a jupyter notebook server on https port 8888. The password is your instance id. Python version 3.8 Tensorflow version 2.11 Pytorch version 1.13 Keras version 2.11 Scikit Learn, Matplotlib, Numpy,Pillow included as dependencies Nvidia CUDA version 11.7 + CUDNN version 8.7 + Tensorrt8.5
Highlights
- Automatic support of gpu instance(if your instance is GPU instance)
- The latest deep learning environment
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 20.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
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Dimension | Cost/hour |
|---|---|
t3a.large Recommended | $0.12 |
t2.micro | $0.00 |
t3.micro | $0.00 |
g4ad.16xlarge | $0.12 |
t3.2xlarge | $0.18 |
p3dn.24xlarge | $0.20 |
g5.48xlarge | $0.12 |
g5.12xlarge | $0.12 |
g4dn.8xlarge | $0.25 |
t3.medium | $0.08 |
Vendor refund policy
no refund
Legal
Vendor terms and conditions
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Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
none
Additional details
Usage instructions
Access the application via web browser at https://<instance-ip>:8888/,the password is your instance-id. Accept self-signed SSL certificate warning .
Resources
Vendor resources
Support
Vendor support
prosupport@hanweie.com If you encounter problems in the process of using the system, please feel free to contact us by email, thank you!
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Hanwei Software Technology
By Elm Computing
AI generated from product descriptions
Deep Learning Framework Support
TensorFlow version 2.11, PyTorch version 1.13, and Keras version 2.11 pre-installed and configured
GPU Acceleration
Automatic GPU support with NVIDIA CUDA version 11.7, CUDNN version 8.7, and TensorRT 8.5 for GPU instances
Pre-configured Development Environment
Python 3.8 with Jupyter Notebook server automatically started on HTTPS port 8888
Machine Learning Libraries
Scikit-Learn, Matplotlib, NumPy, and Pillow included as dependencies for data processing and visualization
Deep Learning Framework Support
Includes TensorFlow 2.15 and PyTorch 2.2 for model training and experimentation
GPU Acceleration
Automatic GPU support with Nvidia CUDA 12.3 and CUDNN 8 on compatible instances (g3/g5), with CPU fallback capability
Jupyter Notebook Environment
Pre-configured Jupyter notebook server running on HTTPS port 8888 with instance ID-based authentication
Python Runtime and Dependencies
Python 3.11 with included libraries including Scikit Learn, Matplotlib, and Numpy
Rapid Development Setup
Pre-installed and configured environment enabling deep learning model development without additional setup steps
Multi-User Notebook Server
Pre-configured JupyterHub server capable of serving Jupyter notebooks to multiple concurrent users
Multiple Python Versions
Support for multiple Python versions installed and available within the environment
Pre-installed Data Science Libraries
Popular data science Python packages and SageMath pre-installed and configured
Extensive Python Package Ecosystem
Hundreds of Python packages available for data science, scientific computing, and development workflows
Standard contract
No
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