IMG remote production manages 124 camera feeds for 154th Open
IMG and Cingularity successfully executed a large-scale remote production for the 154th Open, managing 124 camera feeds via redundant 10Gbps fiber paths. The workflow utilized a hybrid of HEVC and JPEG 2000 encoding to maintain 240ms end-to-end latency across more than 500 discrete audio paths.
Key Takeaways
- Connectivity scaled from a single 1Gbps circuit two years ago to a redundant 20Gbps aggregate path via Cingularity
- Latency was maintained at approximately six frames to ensure directors felt as comfortable as in an on-site OB truck
- A complete disaster recovery gallery was held in reserve with cellular and internet backups for critical marquee feeds
- Centralized audio management used BitFocus Companion to route 256 discrete channels across four MADI streams
Why It Matters
The successful management of 124 feeds demonstrates that high-tier sports broadcasting can move beyond the limitations of on-site OB trucks without sacrificing latency or reliability. By utilizing a hybrid encoding strategy and redundant 100-gig London ring fibers, the production proves that massive scale is now achievable through centralized hubs. This shift reduces the physical footprint required at venues while maintaining the sub-250ms response times necessary for live sports directing. As connectivity costs decrease and bandwidth increases, expect more Tier-1 events to adopt this hub-and-spoke model. Watch for whether future productions transition entirely to JPEG 2000 as hardware capacity catches up to these high-density feed requirements.
Additional Context
IMG's hub-based approach at the 154th Open reflects a broader industry shift toward centralized production facilities for major sporting events. In June 2026, Nokia announced work with AWS and Databricks to build the data, cloud, and control layers for autonomous networks, a development that underscores how telecom infrastructure providers are positioning their platforms to support the high-bandwidth, low-latency connectivity that remote production workflows depend on. Nokia's Autonomous Network Fabric, which integrates orchestration, assurance, and inventory management across cloud environments, claims operators are achieving automation rates higher than 90 percent and service delivery times of four hours or less, metrics directly relevant to the reliability requirements of live sports remote production at IMG's Stockley Park hub.
The competitive landscape for remote production technology is intensifying as vendors race to demonstrate agentic AI capabilities in broadcast and network operations. At DTW Ignite in Copenhagen, Nokia went full agentic and secured NTT Docomo as a partner while Nvidia's influence expanded across the vendor's RAN strategy, signaling that the network automation layer beneath remote production workflows is itself becoming a contested market. Meanwhile, Ericsson launched its AI in RAN commercial software subscription on June 11, claiming up to 20 percent higher downlink throughput and up to 10 percent better spectral efficiency across more than 15 live deployments, improvements that could reduce the cost of the dedicated fiber and IP connectivity that facilities like IMG's Remote Hub require for multi-event simultaneous production.
The technical architecture choices IMG made, particularly the hybrid HEVC and JPEG 2000 encoding strategy, sit within a wider debate about codec selection for contribution and remote production links. Ericsson and Nokia are diverging on their AI-RAN approaches, with Nokia building its entire Layer 1 RAN on Nvidia's CUDA platform and GPUs while Ericsson keeps most L1 functions on CPUs, a split that will influence how network operators prioritize latency-sensitive traffic like JPEG 2000 video streams versus bandwidth-efficient HEVC contributions. T-Mobile US is testing both the Nokia and Ericsson AI-RAN approaches, and the outcome of those trials will shape the quality-of-service guarantees available to broadcast operations teams managing hundreds of simultaneous feeds over shared infrastructure.
Read full article at svgeurope.org
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