Harnessing Ampere Arm-based Processors to Cut OPEX and Energy Costs

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Ampere’s Arm-based processors are revolutionizing the economics and energy consumption requirements needed by hyperscale video streaming platforms. Ampere is innovating an entirely new CPU category designed specifically for sustainable cloud computing, perfect for video platforms needing to do more while cutting costs. Sean Varley, Chief Evangelist for Ampere Computing, shares how Ampere’s processors deliver unprecedented energy efficiency (reducing power usage by up to 2.8x compared to traditional processors), the performance improvements enabled by Ampere’s unique architecture (up to 192 custom cores handling 1.3 million requests per second), how modernizing compute infrastructure boosts performance and supports data center efficiency, and case studies of hyperscale video streaming services leveraging Ampere’s technology from AI-enhanced video processing to dynamic workload management.

Video

Harnessing Ampere Arm-based Processors to Cut OPEX and Energy Costs

Sean Varley (Ampere) on how Arm-based processors are revolutionizing the economics and energy consumption of hyperscale video streaming.

Watch

Ampere’s Arm-based processors are revolutionizing the economics and energy consumption requirements needed by hyperscale video streaming platforms. Ampere is innovating an entirely new CPU category designed specifically for sustainable cloud computing, perfect for video platforms needing to do more while cutting costs. Sean Varley, Chief Evangelist for Ampere Computing, shares how Ampere’s processors deliver unprecedented energy efficiency (reducing power usage by up to 2.8x compared to traditional processors), the performance improvements enabled by Ampere’s unique architecture (up to 192 custom cores handling 1.3 million requests per second), how modernizing compute infrastructure boosts performance and supports data center efficiency, and case studies of hyperscale video streaming services leveraging Ampere’s technology from AI-enhanced video processing to dynamic workload management.