Skip to main content

CDNetworks Announces New Low Latency Streaming Solution

CDNetworks announced a new WebRTC-based low latency streaming solution that features high compatibility and ultra-fast transmission speed, cutting the latency to less than 500 milliseconds.

The new solution is built on the revolutionary benefits of the most popular peer-to-peer communications protocol – Web Real-Time Communication (WebRTC) – to achieve almost instant streaming delivery while breaking its limitations to improve the audio and video quality and supportability. It also transforms the way global audiences experience live shows and empowers content producers in all sectors to create highly immersive and interactive real-time videos at scale.

Highlights of CDNetworks’ Low Latency Streaming:

- CDNetworks optimizes standard WebRTC and upgrades traditional CDN network architecture to cut latency to below 500ms eliminating the multi-second latency problems that used to hinder the innovation and business possibility for companies that rely on live streaming content.

- Thanks to its powerful distribution capability made possible by over 2800 PoPs (Points of Presence) across the globe, CDNetworks’ media platform ensures high compatibility and supports the whole set of traditional live streaming features including transcoding, recording, and watermarking.

- Multi-platform SDKs (Software Development Kits) support for stream pulling makes the deployment of the solution cheaper and easier than ever. CDNetworks provides SDKs for Android, IOS and H5 to cater to the diverse needs of end users. CDNetworks also provides a proxy version SDK that allows users to use their own players or third-party players to deliver a time-synchronized streaming experience without the extra need for any modifications.

“Our 20 years of expertise in media acceleration technologies has culminated in the launch of this new solution which is integrated with a plethora of upgrades to unlock the potential of WebRTC protocol. We optimized the standard WebRTC by adding the support for AAC, H.265, and B frame to further slash latency and ensure non-disruptive playback. We have solved the problem of higher handshake times and transmission bandwidth caused by DTLS encryption, and provided CDNetworks’ proprietary security strategies that reduce transmission consumption and latency, meaning that the audience can enjoy a lightning-fast, secure, and super reliable viewing experience,” said Doyle Deng, Head of Product Management of CDNetworks.

“The launch of CDNetworks’ Low Latency Streaming solution, which has already been adopted by numerous industry players in entertainment, gaming, sports, online education and e-commerce to bring interactivity at scale, marks another breakthrough for the media delivery technology. We enable the media content to be delivered to the devices of end users at unparalleled speed anytime, anywhere,” Deng added.

With this new milestone, CDNetworks will continue to explore the technology that enables interactive live streaming to achieve lower latency and higher reliability. Leveraging its global resources and streaming distribution technology, CDNetworks is also committed to enhancing the stability and security of media acceleration technologies for VoD services. Backed by its innovations in both live streaming and VoD, CDNetworks aims to bring next-generation media solutions to companies worldwide.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

CDNetworks Announces New Low Latency Streaming Solution

CDNetworks announced a new WebRTC-based low latency streaming solution that features high compatibility and ultra-fast transmission speed, cutting the latency to less than 500 milliseconds.

The new solution is built on the revolutionary benefits of the most popular peer-to-peer communications protocol – Web Real-Time Communication (WebRTC) – to achieve almost instant streaming delivery while breaking its limitations to improve the audio and video quality and supportability. It also transforms the way global audiences experience live shows and empowers content producers in all sectors to create highly immersive and interactive real-time videos at scale.

Highlights of CDNetworks’ Low Latency Streaming:

- CDNetworks optimizes standard WebRTC and upgrades traditional CDN network architecture to cut latency to below 500ms eliminating the multi-second latency problems that used to hinder the innovation and business possibility for companies that rely on live streaming content.

- Thanks to its powerful distribution capability made possible by over 2800 PoPs (Points of Presence) across the globe, CDNetworks’ media platform ensures high compatibility and supports the whole set of traditional live streaming features including transcoding, recording, and watermarking.

- Multi-platform SDKs (Software Development Kits) support for stream pulling makes the deployment of the solution cheaper and easier than ever. CDNetworks provides SDKs for Android, IOS and H5 to cater to the diverse needs of end users. CDNetworks also provides a proxy version SDK that allows users to use their own players or third-party players to deliver a time-synchronized streaming experience without the extra need for any modifications.

“Our 20 years of expertise in media acceleration technologies has culminated in the launch of this new solution which is integrated with a plethora of upgrades to unlock the potential of WebRTC protocol. We optimized the standard WebRTC by adding the support for AAC, H.265, and B frame to further slash latency and ensure non-disruptive playback. We have solved the problem of higher handshake times and transmission bandwidth caused by DTLS encryption, and provided CDNetworks’ proprietary security strategies that reduce transmission consumption and latency, meaning that the audience can enjoy a lightning-fast, secure, and super reliable viewing experience,” said Doyle Deng, Head of Product Management of CDNetworks.

“The launch of CDNetworks’ Low Latency Streaming solution, which has already been adopted by numerous industry players in entertainment, gaming, sports, online education and e-commerce to bring interactivity at scale, marks another breakthrough for the media delivery technology. We enable the media content to be delivered to the devices of end users at unparalleled speed anytime, anywhere,” Deng added.

With this new milestone, CDNetworks will continue to explore the technology that enables interactive live streaming to achieve lower latency and higher reliability. Leveraging its global resources and streaming distribution technology, CDNetworks is also committed to enhancing the stability and security of media acceleration technologies for VoD services. Backed by its innovations in both live streaming and VoD, CDNetworks aims to bring next-generation media solutions to companies worldwide.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...