Redefining OTT Efficiency: How Ateme and AMD Are Powering the Next Generation of Sustainable Streaming

As streaming platforms scale to deliver more channels, higher resolutions, and lower latency experiences, operators are being challenged to balance performance, efficiency, and sustainability like never before.

For service providers, the challenge is no longer simply scaling video delivery. It’s about doing so efficiently and economically while continuing to deliver the ultimate viewing experience.

At Ateme, we believe the future of streaming depends on smarter infrastructure choices. Through our collaboration with AMD and the latest AMD EPYC™ processors, we are helping operators modernize OTT workflows with improved efficiency, lower Total Cost of Ownership (TCO), and premium Quality of Experience (QoE).

Doing More with Less Infrastructure

Traditional OTT deployments often rely on large server footprints, high power consumption, and complex operational environments. As video demand grows, these inefficiencies become increasingly costly.

By combining Ateme’s TITAN encoding and packaging solutions with the processing power of AMD EPYC™ CPUs, operators can process more channels on fewer servers while still delivering premium video quality at scale.

The result is a leaner and more efficient architecture that helps operators:

• Reduce energy consumption
• Lower cooling and space requirements
• Simplify operations and maintenance
• Optimize infrastructure investments
• Improve long-term scalability

Modern software optimization combined with next-generation CPU performance allows OTT providers to scale capacity without linear increases in power and rack space.

TITAN’s Smart Constant Quality technology further improves delivery efficiency by dynamically optimizing bitrate allocation to maintain consistent perceptual video quality while reducing bandwidth consumption.

The platform also supports AV1, the next-generation codec rapidly emerging as the future of video streaming thanks to its superior compression efficiency and growing ecosystem support. By integrating AV1 into OTT workflows, service providers can significantly reduce bandwidth requirements while maintaining premium video quality.

Ateme is also actively innovating around Media over QUIC (MoQ), including participation in the OpenMoQ forum. These next-generation delivery architectures are designed to enable lower latency live streaming, improved scalability, and more efficient video transport for future streaming services.

Sustainability as a Core Design Principle

Sustainability is becoming a strategic priority across the media and telecommunications industries. Running more channels on fewer servers directly reduces power consumption and data center footprint while lowering operational costs.

Ateme’s collaboration with AMD reflects a shared commitment to helping operators build streaming platforms that are both technically advanced and environmentally responsible.

Unlocking Higher Quality Experiences

Infrastructure efficiency should never come at the expense of viewer experience.

With TITAN’s advanced compression technologies and the high-performance capabilities of AMD EPYC™ processors, operators can continue to enhance video quality while maintaining operational efficiency.

This creates headroom for:

• Higher resolutions and bitrate optimization
• More consistent streaming performance
• Faster deployment of new services
• Greater flexibility for future platform evolution

As streaming competition intensifies, maintaining exceptional QoE while controlling costs becomes a critical differentiator.

Building the Future of OTT Delivery

The future of streaming will belong to platforms that can scale intelligently, operate sustainably, and continuously improve viewer experience.

As the industry moves toward higher efficiency codecs, lower latency architectures, and more sustainable infrastructure models, the ability to deliver premium streaming experiences efficiently at scale will become one of the industry’s most important competitive advantages.

Disclaimer: Actual performance, efficiency, and cost benefits may vary depending on workload, configuration, and deployment environment.

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