Uploaded March 2026 | Updated September 2026, 1 week ago
AI workloads are shifting toward continuous, agent-driven processing, with video—which includes streaming conference and enterprise media—emerging as one of the most demanding use cases. The role of the CPU, which orchestrates everything from AI inference to memory and data flows, is crucial.
This animated demo explores how the video use case performs across legacy architectures and the new Arm AGI CPU. In comparable rack configurations, legacy architectures encounter limitations around sustained performance, while the Arm AGI CPU achieves stable throughput at significantly higher utilization levels, enabling more effective use of installed compute and delivering greater performance per rack.
The result is a more efficient path to scaling next-generation AI infrastructure, from core to rack to data center.
Learn more: arm.com/products/cloud-datacenter/arm-agi-cpu
AI workloads are shifting toward continuous, agent-driven processing, with video—which includes streaming conference and enterprise media—emerging as one of the most demanding use cases. The role of the CPU, which orchestrates everything from AI inference to memory and data flows, is crucial.
This animated demo explores how the video use case performs across legacy architectures and the new Arm AGI CPU. In comparable rack configurations, legacy architectures encounter limitations around sustained performance, while the Arm AGI CPU achieves stable throughput at significantly higher utilization levels, enabling more effective use of installed compute and delivering greater performance per rack.
The result is a more efficient path to scaling next-generation AI infrastructure, from core to rack to data center.
Learn more: arm.com/products/cloud-datacenter/arm-agi-cpu
