Scalability and Elasticity
The cloud provides instant access to vast computing and storage resources for chip design and verification. Chip design demands vary cyclically and unpredictably throughout the process, so scalability and elasticity are both essential cloud benefits.
Your chip design team can leverage automated provisioning and easy-to-manage environments offered by cloud providers. You can utilize as many machines for regressions, timing analysis and physical verification as you need. Once your team members complete each step, they can return the resources to the cloud and stop the charges.
In recent years, modern chip complexity has increased multifold, while the life cycles for products using chips have considerably reduced. Concurrently, demand for chip makers to ensure faster time-to-market grows daily.
With cloud computing, you receive scalable storage and major data analytics capabilities. You also have access to enhanced productivity with collaboration tools that enable rapid product development and launches. The cloud allows you to leverage high-performance computing (HPC) power with virtual machine images, enabling quicker design and development cycles.
Data and Analytics Insights
The design of a chip varies with each release. Most likely, your organization uses families of chips in incremental progression cycles. You must therefore log, analyze, and process your chip lifecycle data for value generation. Cloud service providers offer unlimited storage and analytics capabilities that enable the use of artificial intelligence (AI) and machine learning (ML) tools for data processing and analytics.
Operational and Cost Efficiencies
Chip companies can use the cloud to focus on core products rather than update their infrastructure. Traditional infrastructure creates chronic capacity and demand mismatch, resulting in engineers or servers sitting idle.
Comparatively, the cloud offers instant scale capabilities to perform and execute operations across the chip value chain from design to yield. You can access these capabilities without investing in physical on-premises data centers, which reduces infrastructure costs.
The cloud provides a collaborative infrastructure to review and test chip designs while offering feedback irrespective of the stakeholders’ locations. You can thus improve cost efficiencies via increased uptime with predictive maintenance capabilities and infrastructure security.