Semiconductors
High-performance EDA computing, chip design data management, and global supply chain infrastructure built for semiconductor companies on AWS.
Semiconductor companies run some of the most compute-intensive workloads in any industry — from EDA simulation and verification to AI chip training and global supply chain management. Cloud Life Consulting builds AWS infrastructure that makes semiconductor design and manufacturing operations more efficient and scalable.
By the numbers
1000×
Faster EDA simulation workloads on demand using AWS HPC clusters vs on-premise compute constraints
60%
Reduction in EDA compute costs after migrating simulation workloads to AWS Spot and reserved HPC instances
Petabytes
Of chip design and simulation data manageable cost-effectively using AWS S3 and intelligent storage tiering
What we build for you
High-performance EDA compute clusters using AWS HPC and ParallelCluster for simulation and verification
Chip design data management with petabyte-scale storage and global team access using AWS S3 and CloudFront
Global supply chain visibility connecting fabs, OSATs, and distribution partners on AWS event-driven infrastructure
AI training infrastructure using AWS Trainium and Inferentia for accelerated chip design optimization
Generative AI on AWS
Cloud Life helps semiconductor companies deploy Amazon SageMaker for EDA workflow optimization, yield prediction from fab data, and intelligent supply chain disruption detection.
Cloud Life builds AWS infrastructure for semiconductor companies managing EDA workloads, chip design data, and global supply chain operations.
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