Case Studies
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Electron Microscopy runs 60% more efficiently at Berkeley’s Nogales Labs on Ampere® Processors
According to Stine, deploying the Ampere instance in a Supermicro server was surprisingly easy. “The integration was just as easy as dropping in another Intel server. Everything just worked—which was great and what we were really looking for.”
By Kurt Stine, GPU Cluster Systems Admin, Nogales Labs
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Lightly Lowers Costs and Improves Performance Using GCP T2A Instances Using Google’s T2A Powered by Ampere® Processors
Lightly.ai’s cloud-based and on-premises data curation tool analyzes and improves the quality of video and image datasets for training machine learning models.
By Lightly and Ampere AI Team
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Oracle Fusion Migrates from x86 to Ampere® Processors for a More Sustainable Solution
With Ampere A1 compute instances, Oracle provides predictable performance and a cost-effective and power-efficient infrastructure, so developers can deliver the improved price-performance that Oracle’s customers expect.
By Oracle and Ampere
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Ampere® CPUs Improves Cost-Performance and Enables Seamless Migration for 8x8’s Video Services Platform
By migrating their video services platform to Ampere A1 processors on OCI, 8x8 was able to achieve all 3 of their goals-exceptional price-performance, lower costs and sustainable energy consumption.
By 8x8 and Ampere
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Ampere® Altra® Processors Power a More Efficient Data Center for Plesk’s WebOps Platform
Ampere Altra processors satisfy the real-time data processing speeds required for Plesk’s popular WebOps platform, especially the low energy consumption and low thermal characteristics needed for modern web and data center apps.
By Lukas Hertig and Anton Akhtyamov, at Plesk
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Amadeus Improves Performance/Price by up to 47% with Ampere® Processers
Porting to Ampere Cloud Native Processors will allow Amadeus to realize its goals for improving performance without increasing cost, delivering fast and predictable response times, improving scalability, and aiding in efforts to reduce carbon emissions and energy consumption.
By Didier Spezia, Cloud Architect, Amadeus