Historias de clientes
Silicon Laboratories

Silicon Labs Designs Electronics at Scale

When long run times and issues scaling workloads caused frustration and potential for delays, Silicon Labs found the high-performance solution they needed from Pure Storage®.

Summary

Silicon Labs makes electronic chips that power remote control light bulbs, smart homes, and industrial automation. The electronic design automation (EDA) process used to create new chips generates millions of small files and directories for each project. Heavily metadata-oriented, EDA workloads create a data throughput challenge for legacy storage systems. Silicon Labs relies on Pure Storage FlashBlade® for high performance data storage for EDA and other workloads.

Industry

Manufacturing
Electronic Design Automation (EDA)

GEO

NOAM

Use Cases

Accelerate Core Applications
Activate Real-time Analytics

Website

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The Last Scale-out Storage Solution You Will Ever Need

Sustainable, simple-to-manage, consolidated, and secure. Discover why FlashBlade is the last scale-out storage solution you will ever need.

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Challenges

Silicon Labs needed storage that could speed its design process, handling huge volumes of unstructured data. At the same time, the company wanted to consolidate its other workloads on the same system for efficiency and simplicity. With multiple locations, including some without in-house IT staff, Silicon Labs needed a solution that was easy to manage, delivered by a vendor providing great support.

Results

Business Transformation

Fosters faster innovation with high performance and reliability
Simple to deploy and manage, even at locations without on-site support
Consolidates workloads on one platform while improving performance

IT Transformation

40x faster for some functions than legacy HPC storage
Scalable to meet business design workloads
Reduces footprint by 85%, simplifying data center operations

“With Pure Storage FlashBlade, we consolidated our massive EDA workload with our many business and manufacturing workloads while cutting cost per terabyte by 50%, and reducing rack space by 85%.”

Jud Barron

R&D Infrastructure Architect, Silicon Laboratories

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