“ I have checked the documents of AWS for the creation of jupyter notebook instance using amazon braket. Amazon braket makes it easy and secure for notebook instance purposes. In terms of cost, the solution is cheaper and secure.”
Amazon Braket is a fully managed quantum computing service provided by AWS. It enables researchers, scientists and developers to explore quantum computing by offering tools to design, simulate and execute quantum algorithms on various quantum hardware and simulators. It simplifies access to quantum technologies without requiring users to manage cloud infrastructure.
In this post, you will experience the creation of jupyter notebook instance using amazon braket. Here I have created the notebook instance with iam role and permissions in amazon braket.
Architecture Overview
The architecture diagram shows the overall deployment architecture with data flow, amazon braket, iam role, cloudwatch logs and notebook instance url.
Solution overview
The blog post consists of the following phases:
- Create of Notebook Instance via Amazon Braket
- Output of Notebook Instance Logs, Notebook Instance and Iam Role
Phase 1: Create of Notebook Instance via Amazon Braket
- Open the Amazon Braket console, click on get started. On the service dashboard, create a notebook via create a service-linked role then click on accept and enable option. Skip the create spending limit and then create the execution role with name the notebook instance and open the notebook. Once the notebook instance is ready, then open the sagemaker notebook instance. Also you can further check the execution role and also stop the notebook instance if not in use further or delete it.
Phase 2: Output of Notebook Instance Logs, Notebook Instance and Iam Role
Clean-up
Amazon braket : notebook instance, iam role and cloudwatch logs.
Pricing
I review the pricing and estimated cost of this example.
Cost of Amazon Sagemaker =
Amazon Sagemaker createvolume-gp2 = $0.14 per GB-Mo of Notebook Instance ML storage for 0.004 GB-Mo = $0.00
Amazon Sagemaker runinstance = $0.05 per Notebook ml.t3.medium hour in US East (N. Virginia) for 0.53 Hrs = $0.03
Cost of Amazon CloudWatch = AmazonCloudWatch PutLogEvents for first 5GB per month of log data ingested is free = $0.00
Cost of Amazon Braket = $0.00
Total Cost = $0.03
Summary
In this post, I showed “creation of jupyter notebook instance using amazon braket”.
For more details on Amazon Braket, Checkout Get started Amazon Braket, open the Amazon Braket console. To learn more, read the Amazon Braket documentation.
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