Amazon Sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
VGG 16
Latest Version:
GPU
This is a Image Classification model from PyTorch Hub
Product Overview
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_vgg/ ). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.
Key Data
Version
Show other versions
Categories
Type
Model Package
Highlights
This is an Image Classification model from PyTorch Hub: https://pytorch.org/hub/pytorch_vision_vgg/
Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us
Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Model Realtime Inference$0.00/hr
running on ml.g4dn.xlarge
Model Batch Transform$0.00/hr
running on ml.p2.xlarge
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Realtime Inference$0.736/host/hr
running on ml.g4dn.xlarge
SageMaker Batch Transform$1.125/host/hr
running on ml.p2.xlarge
Model Realtime Inference
For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.InstanceType | Realtime Inference/hr | |
---|---|---|
ml.g4dn.xlarge Vendor Recommended | $0.00 | |
ml.p2.xlarge | $0.00 | |
ml.p3.2xlarge | $0.00 |
Usage Information
Sample notebook
Additional Resources
End User License Agreement
By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)
Support Information
AWS Infrastructure
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.
Learn MoreRefund Policy
None
Customer Reviews
Computer Software
View allBest suited for prototyping!
Sep 20, 2023
What do you like best about the product?The VGG16 architecture is simple and easy to understand.
There aren't much complex blocks or layers. One can easily customize the activation layers and build
a simple CV applicationWhat do you dislike about the product?Since the model is quite s... Read more
There aren't much complex blocks or layers. One can easily customize the activation layers and build
a simple CV applicationWhat do you dislike about the product?Since the model is quite s... Read more
Write a review
Share your thoughts about this product.
Write a customer review