Innovations and advancements in cloud computing now make it possible to run HPC workloads more efficiently than ever. With unlimited scalability, the cloud can be scaled up to meet a jump in demand and scaled down when demand wanes.
Lower Infrastructure Costs
On-demand, pay-per-use HPC infrastructure dynamically provisions and de-provisions, reducing upfront capital expenditures. With HPC in the cloud, computing capacity can be burst for temporary peaks in workloads or distributed across multiple data centers to reach geographically dispersed users.
You can design optimized cloud infrastructure for your workloads using flexible cloud infrastructure. Servers and storage can be allocated on demand or a schedule based on specific project phases, starting with a minimum of provisioned resources. Cloud service providers offer various procurement options for accommodating different types of workloads. One example is the on-demand pricing model, where organizations pay for computing capacity by the hour or minute for running short-term, spiky workloads.
Cloud infrastructure allows you to scale up or down in minutes in the case of virtual servers or a few hours for bare metal servers. A genuinely scalable infrastructure is based on flexibility with application programming interfaces and automation. New nodes can be provisioned in a cloud data center, linked to the cluster manager, and used to run computational tasks. Cloud resources can be considered unlimited.
Shorter Technology Refresh Cycles
For HPC clusters, the refresh cycle should be 24 months or less. With HPC in the cloud, workloads can be shifted to new technology, and customers will always have the most current platform. Cloud service providers also offer access to analytics, artificial intelligence, and machine learning services that help drive innovation.
You can access unlimited computing and storage resources in the cloud for HPC workloads without the long procurement cycles, capital expenditures, and overhead associated with on-premises HPC systems. Chip designers can dramatically reduce time-to-market by rapidly provisioning and de-provisioning HPC clusters in minutes.
Cloud computing is becoming more reliable, secure, and powerful, which makes it possible for companies to optimize their chip design process. Chip makers can optimize license utilization, engineering productivity, and costs using elastic clusters in cloud-based HPC, allowing for efficient innovation in the next generation of chips.
Synopsys Cloud helps chip makers leverage HPC in the cloud by providing unlimited access to EDA software licenses on-demand. We have partnered with the top cloud providers to optimize infrastructure configurations, removing the guesswork so EDA can rapidly deploy in the cloud.