Azure high-performance computing (HPC) for silicon

Scalable, secure, on-demand, high-performance infrastructure with compute, storage and networking optimized for EDA workloads.

Customer-validated, production usage for hybrid (burst) and fully-on-Azure models, as well as phased, multi-year migration from on-premises to Azure.

Flexible, optimizable reference architecture that fits the needs of each tool/workload in the design flow.

Seamless deployment using industry-standard scheduling tools and storage standards.

Ecosystem partnerships to advance cloud-centric productivity gains by intelligent scaling and AI/ML.

Azure HPC silicon scenarios

Chip design

Achieve fine-grained control over front- and back-end chip design flow, as well as block and full chip levels of physical hierarchy, by optimizing your chip design process with Azure technologies and architecture.

IP design

Dramatically improve turnaround time and business ROI for the highly scalable processes such as foundational and custom IP design, characterization, and quantification.

Silicon manufacturing

Improve yield and uptime by capturing and analyzing foundry data with Azure IoT, cognitive AI, machine learning, and mixed reality technologies. Enable fault prediction, perform preventive maintenance, automate machine tuning and processes, and optimize process flows, quality, and testing.

Silicon supply chain

Improve the design sales process and optimize your supply chain by integrating your business planning, inventory optimization, lifecycle management, component tracking, and logistics and distribution operations with cloud-native applications built on Azure IoT, machine learning, blockchain, and mixed reality technologies.

Contact your Microsoft account team for more information about Azure semiconductor solutions. Or, learn more in this white paper >

Powerful infrastructure as a service (IaaS) for the silicon industry

  • Get the cloud infrastructure support you need to create, manage, operate, and optimize HPC and big compute clusters—at any scale and for any software stack—with Azure CycleCloud. And, get support for industry-standard job schedulers, such as Platform Load Sharing Facility (LSF).
  • Take advantage of large volumes of I/O with sub-millisecond latency with Azure NetApp Files—delivered within the Azure data center with predictable, low latencies consistent with on-premises performance.
  • Keep your data placement efficient, flexible, and cost-effective by deploying a hybrid infrastructure environment. Burst your EDA applications into Azure using data stored in on-premises NAS devices and scale to your needs using an intelligent cache with Azure HPC Cache.

Ready when you are—let’s set up your Azure free account