As content delivery platforms evolve, transcoding has become the unseen backbone of every live and on-demand workflow. Whether streaming a global event, powering a FAST channel, or maintaining a multi-language VOD library, transcoding directly determines both quality of experience and operational cost.

The challenge? Scaling transcoding efficiently, without inflating compute usage or latency. Many legacy systems still depend on fixed infrastructure or single-purpose encoders that struggle to adapt to modern, dynamic workflows.

That’s where DVEO’s Brutus Cloud changes the equation.

A Unified Transcoding Engine Built for Modern Protocols

The Brutus Cloud architecture was designed from the ground up to handle today’s multi-protocol, multi-workload environments. Instead of separating encoding for each workflow, it unifies live, linear, and VOD processing under a single distributed engine.

Protocol Flexibility: Brutus Cloud natively supports SRT, RTMP, HLS, and MPEG-DASH, covering the most common live contribution and distribution formats. This versatility allows broadcasters and OTT platforms to ingest, process, and redistribute content simultaneously across multiple endpoints, all within the same pipeline.

Multi-Bitrate and Adaptive Streaming: With GPU-accelerated transcoding, Brutus Cloud creates multi-bitrate ladders in real time, optimizing bandwidth efficiency while maintaining image fidelity. This makes it ideal for low-latency streaming, FAST channels, and high-density encoding environments.

Designed for Scalability and Efficiency

Scalability in transcoding isn’t just about adding more instances, it’s about doing so intelligently.

Elastic Compute Model: Brutus Cloud dynamically allocates GPU and CPU resources based on active workloads. When streaming demand spikes (for example, during live sports or simultaneous event feeds), additional nodes automatically deploy and balance load across the cluster. Once traffic subsides, unused capacity is released, saving resources and reducing total cost of ownership.

Active Monitoring and QoS Assurance: Each transcoding node operates under centralized monitoring that tracks throughput, latency, and visual quality metrics in real time. AI-assisted analysis detects potential drops in performance and rebalances processing accordingly, ensuring consistent QoS (Quality of Service) across all streams.

Redundancy and Fault Tolerance: Built-in redundancy ensures that no single node becomes a point of failure. Streams can reroute seamlessly between servers or regions, maintaining uptime even under heavy traffic or network interruptions.

Transcoding at the Core of Workflow Integration

Brutus Cloud integrates directly with DVEO’s playout, AI, and distribution solutions, forming the foundation of an end-to-end broadcast ecosystem.

• Paired with Playout Automation, it delivers adaptive encoding directly into linear and FAST channel workflows.

• Combined with AI Tools for Media, it accelerates processing for subtitling, dubbing, and video enhancement.

• Linked to Stream Republic’s managed distribution, it powers global content delivery with consistent performance across SRT and hybrid CDN networks.

This deep integration removes the traditional bottlenecks between transcoding and the rest of the video chain, making media workflows faster, simpler, and more cost-efficient.

Transcoding Without Scaling Complexity

In an era of growing audience expectations and rising data costs, scaling transcoding efficiently isn’t just a technical advantage, it’s a business imperative. DVEO’s Brutus Cloud delivers a flexible, high-performance architecture that adapts to your workflow, not the other way around.

Whether for live, linear, or on-demand content, Brutus Cloud offers the scalability, reliability, and efficiency that modern media delivery demands. Learn more about Brutus Cloud