Video encoding has traditionally been judged by codecs, bitrate ladders, presets, and quality at a given bitrate, but at scale those choices no longer explain the full cost or scalability of a platform.

CPU transcoding still plays an important role in offline encoding, codec experimentation, and highly customized media workflows. But continuous real-time streaming environments expose the limitations of software-only encoding very quickly.

Moving from C-Band to IP? Software CPU encoding at the edge won't scale. NetActuate's global edge network + NETINT’s Quadra VPUs deliver 10x stream density with 80% less energy for contribution-grade delivery. Full breakdown below.

Security leaders are spending heavily on video analytics. Many will discover that the constraint is not the AI model. It is the unglamorous work of turning compressed video back into frames to feed the AI model.

Is the default cloud CPU model still efficient for next-gen video? Dedicated VPUs make scaling HEVC & AV1 efficient without black-box limits. Start testing today on Akamai Cloud or NetActuate. #VideoProcessing #VPU #StreamingTech #VideoProcessing #AV1

The streaming infrastructure landscape is shifting, but not every organization is moving in the same direction. Here’s what the data tells us about where video infrastructure is headed next.

High-resolution live video presents a fundamental tension. As resolution and frame rate increase, so do encoding complexity, bandwidth requirements, and latency sensitivity. These three factors pull in different directions.

Why coordination, not raw speed, determines whether video infrastructure scales with confidence