Overview
Musl optimized tensorflow container with a Jupyter notebook server interface running on the hardened Alpine Linux OS. Designed for machine learning applications and seamless deployment to both Fargate and ECS clusters.
Highlights
- Tensorflow
- Machine Learning
- Alpine Linux
Details
Pricing
- $25.00/month
Vendor refund policy
Refunds are not provided but you can cancel the subscription at any time.
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Content disclaimer
Delivery details
Tensorflow 2.15.0
- Amazon ECS
- Amazon EKS
- Amazon ECS Anywhere
- Amazon EKS Anywhere
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Tensorflow version 2.15.0. This is a CPU only version of tensorflow running on Alpine Linux.
Additional details
Usage instructions
Refer to the instructions provided here https://aws.okindev.com/tensorflow.html and apply the CloudFormation deployment template https://aws.okindev.com/cfn/tensorflow.cloudformation.template . Modify to select version 2.15.0. Connect to the Tensorflow Jupyter server with the FargateServiceName DNS name and the authorization parameter you created earlier when the CloudFormation stack was deployed. The provided CloudFormation template spins up a FargateService and Load Balancer so AWS usage costs for those services will apply. Please make sure to specify the environment variable JUPYTER_TOKEN. This container does not encrypt data within the running instance.
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