Build an AI ecosystem by migrating workloads to the cloud

Overview

Infosys Semiconductor practice offers end-to-end services for cloud adoption. The superior compute power and increased storage of the cloud infrastructure ensures efficient processing of data, applications and compute-intensive workloads such as R&D, EDA, PLM, and modeling. It helps build, train and deploy bespoke ML models for diverse use cases, and accelerate deployment of AI systems. In addition, the cloud reduces time-to-result via on-demand scaling up for executing a huge volume of parallel tasks.

Infosys Cobalt, our ecosystem of cloud services, solutions and platforms, helps realize the potential of AI as well as Industry 4.0 by creating synergy between design, engineering, manufacturing, and supply chain systems. Infosys cloud modernization strategies combine proven methodologies with FinOps best practices to mitigate risks. Our approach drives seamless cloud migration with minimal business disruption. Notably, our cloud consultants optimize the cloud environment and provide post-migration support for consistent performance. We leverage open APIs for secure data services in connected semiconductor enterprises. Cloud analytics streamlines peak workload management while avoiding overprovisioning.

A design engineering cloud helps semiconductor enterprises establish a single source of truth, optimize automation workflows, and enable global access to CAx applications. It also allows chip designers and verification engineers to use model-based design and ML-driven simulation to boost productivity as well as design and engineering outcomes. A manufacturing cloud integrates operational and information technologies, and supports a digital thread across the manufacturing application stack and processes. An integrated IT-OT ecosystem and a digital thread facilitate real-time monitoring and predictive analytics for resource utilization, capacity planning, quality control, and asset management.