Semiconductor and Electronics on AWS - High Level - Run Semiconductor Design Workflows on AWS

Semiconductor and Electronics on AWS - High Level

The following architecture diagram shows migration of workflows to AWS and a high-level architecture for running semiconductor design workflows. In this architecture diagram, the infrastructure that is running on AWS is similar to the previous on-premises environment diagram. This simple architecture helps you understand the high-level approach without the need for knowing the details about each of the services that is used.

        This annotated diagram shows a high level architecture of implementing a
          semiconductor environment on the AWS Cloud.

Semiconductor and Electronics Design on AWS - High Level

Table 1 – Semiconductor and Electronics Design on AWS - High Level desciptions

Callout Description
1 Determine what data is needed for proof of concept or test.
2 Transfer data into AWS via AWS Snowball, AWS Direct Connect, or using several other AWS services.
3 Transferred data is stored in Amazon S3 buckets. You can access data stored in Amazon S3 from an Amazon EC2 instance or nearly any AWS service.
4 Users access their environment through a remote desktop session or command line (ssh).
5 All of the infrastructure needed for semiconductor design workflows is available on AWS.
6 AWS compute is flexible and robust, more than capable of running semiconductor design workflows
7 Store tools and job data on Amazon EFS, Amazon FSx for Lustre, and local disk. Optionally, move long-term data storage to Amazon S3.
8 Once your data is in AWS, you can leverage other services, such as data lakes, AI/ML, and analytics.
9 Isolating environments leads to enhanced security and limits third parties to only the data they need.
10 Encryption is everywhere and can be enabled with your encryption keys.