Introducing Cambria Stream Solo:
Professional On-Prem Live Encoding, Simplified
3 June 2026
Capella Systems has launched Cambria Stream Solo, a software-based, on-prem live encoding solution for broadcasters, production companies, and service providers operating fixed or semi-permanent live channels.
It is particularly relevant for customers who:
- Want to avoid fully cloud-based workflows
- Need to replace aging encoding infrastructure
- Require predictable, long-term cost models
- Prefer Linux-based environments
- Plan to evolve toward hybrid on-prem/cloud architectures
New Features and Enhancements:
- Subtitle Inject Filter
- NETINT VPU test module (Akamai Cloud)
- Additional support for Film Grain Denoise in MP4 AC1 Encoding
- On-prem Kubernetes Support
- Use External PostgreSQL 14 installation method
What Stream Solo Delivers
As many organizations look to modernize their video infrastructure, legacy encoding appliances are becoming costly, inflexible, and difficult to scale.
Cambria Stream Solo replaces hardware-based encoders with a flexible, software-based solution, running on Linux and supporting a wide range of hardware environments.
This approach enables customers to:
- Keep encoding close to the signal source
- Maintain full control over their workflows
- Reduce dependency on proprietary systems
- Optimize costs for 24/7 live channels
Flexible and Scalable Deployment
Cambria Stream Solo is available in multiple configurations to match actual needs without over-provisioning:
- Stream Solo – 1 channel
- Stream Duo – 2 channels
- Stream Quad – 4 channels
Powerful Technical Capabilities
Stream Solo supports a wide range of professional broadcast formats:
- Inputs: SDI, SRT, UDP, RTMP, Zixi, NDI, HLS-TS, media files
- Outputs: CMAF, HLS, SRT, RTP, MP4/TS, RTMP/RTMPS, Zixi
Additional Features:
- SCTE-35 support for ad insertion and monetization
- Ability to operate as a stream origin
- Seamless integration with Cambria Stream cloud engines for hybrid workflows
Future-Ready Streaming
Cambria Stream Solo provides a clear evolution path: start with on-premise encoding today, and transition to hybrid architectures tomorrow, at your own pace.