Infosys-and-Cloud-Computing

Learn how Infosys and cloud computing are enabling scalable solutions

The High-Tech practice of Infosys helps various players in the semiconductor industry, such as OEMs, ODMs, integrated device makers, fabless designers, and independent software providers, to adopt cloud computing. They move their resource-intensive applications and engineering workflows from R&D to manufacturing to different types of cloud environments, such as private, public, or hybrid. This allows the design and fabrication teams to handle huge amounts of data and variable workloads while improving their productivity. The company also collaborate with multiple design teams on tasks such as exploration, compilation, synthesis, and place-and-route. Moreover, the cloud enables them to consume CRM, ERP, product development, and AI applications on a subscription basis.

Cloud-hosted platforms can enable enterprises to apply generative design algorithms, new manufacturing methods such as 3D printing, and big data engines for machine learning and deep learning. The company also support 'digital twinning' to detect bottlenecks, predict failures, and enhance process efficiency. Additionally, cloud solutions can help data scientists prepare data for the creation, training, and deployment of cognitive automation models, which are essential for a digital factory.

Infosys offers Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS), Software-as-a-Service (SaaS), Database-as-a-Service (DBaaS), Enterprise-as-a-Service (EaaS), and Disaster Recovery-as-a-Service (DRaaS) cloud managed services. They use data encryption methods, chip layout design tools for secure transmission, industry-specific control mechanisms, and audit services to solve reliability and latency challenges in cloud-based silicon design and development.

The company creates Unique APIs for cloud-to-cloud conversion and integration of various cloud providers' as-a-service models, such as AWS Cloud, Microsoft Azure, and Google Cloud Platform. They combine DevOps automation tools and open-source technologies such as Spark, Hadoop, and Hive to simplify backend services, increase service quality, and maximize cloud architectures. The company also use dashboards for real-time monitoring of cloud services to reduce computing resource over-provisioning.