This whitepaper is for historical reference only. Some content might be outdated and some links might not be available.

# Migrating and running semiconductor workflows on AWS
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 Migrating workflows or even one tool to AWS can be a somewhat daunting task, particularly if you are new to AWS. As AWS has well over 200 services, and each service is extremely feature rich, this section narrows the scope and focuses on what you need to know for the semiconductor industry. 

**Topics**
+ [Before you build](before-you-build.md)
+ [Semiconductor and Electronics on AWS - High Level](semiconductor-and-electronics-on-aws---high-level.md)
+ [Semiconductor and Electronics on AWS - Deep Dive](semiconductor-and-electronics-on-aws---deep-dive.md)
+ [Connecting to AWS](connecting-to-aws.md)
+ [Data requirements and transfer for proof of concept (POC)](data-requirements-and-transfer-for-proof-of-concept-poc.md)
+ [User access and remote desktops](user-access-and-remote-desktops.md)
+ [License server setup](license-server-setup.md)
+ [Launch AWS services needed to run a POC](launch-aws-services-needed-to-run-a-poc.md)
+ [Launch and configure the entire semiconductor design workflow](launch-and-configure-the-entire-semiconductor-design-workflow.md)
+ [Transfer GDSII file to foundry](transfer-gdsii-file-to-foundry.md)
+ [Fabrication, packaging, and final product](fabrication-packaging-and-final-product.md)
+ [Enable secure collaboration chambers with third parties](enable-secure-collaboration-chambers-with-third-parties.md)
+ [AWS analytics pipeline and leveraging your data lake](aws-analytics-pipeline-and-leveraging-your-data-lake.md)
+ [AI/ML for workflow optimization](aiml-for-workflow-optimization.md)