Edge Infrastructure in Media Production: Why It Matters in 2026

Cloud solved a lot of problems. Not all of them.

Cloud adoption transformed media production. Remote collaboration, elastic compute, global access to shared environments these are real capabilities that production teams rely on every day.

But as workflows have become more distributed, more data-intensive, and more performance-sensitive, a limitation has become harder to ignore: cloud works best when distance does not matter. In media production, distance almost always matters.

When an editor in a facility needs to pull a 4K RAW frame for a cut decision, the response time depends on how far that data has to travel. When a live production team needs real-time signal processing at a venue, centralised cloud compute introduces latency that makes it unusable. When a distributed VFX pipeline is running parallel simulations, the round-trip to a cloud data centre becomes the bottleneck.

This is the problem edge infrastructure solves. Not by replacing cloud, but by putting the right compute and storage closer to where the work is actually happening.

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What edge infrastructure actually means in media

Edge infrastructure means computing, storage, and connectivity resources positioned closer to where work is being done at the facility, on location, or at a regional hub rather than centralised in a cloud data centre.

In media production, this shows up in several concrete forms:

On-set infrastructure. When a production is shooting on location, the network, storage, and connectivity at the venue is the edge. Getting high-quality signal from camera to cloud, and enabling real-time collaboration between on-set and remote teams, depends entirely on what is deployed at that location. A weak or unmanaged on-set environment cannot be compensated for by better cloud infrastructure downstream.

Facility-level compute and storage. For post production facilities, local storage and processing handles the latency-sensitive work colour grading, editorial, finishing while cloud handles the elastic workloads like rendering and long-term archive. The facility is the edge. How well it connects to cloud environments determines how seamlessly the two work together.

Regional network nodes. For global workflows spanning multiple countries, content that has to travel from a production in one continent to a cloud data centre in another and back again accumulates latency at every hop. Regional points of presence on a private network reduce that round-trip significantly.

In all three cases, the principle is the same: put the processing and storage where the work is, connected reliably to everywhere else it needs to reach.

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Where cloud-only workflows break down

The productions where cloud-only architecture causes the most friction are the ones with the tightest latency requirements or the largest file sizes moving at high frequency.

Across the facilities we work with, three scenarios come up consistently.

Real-time on-set production. Live capture, dailies review, and on-set monitoring all require near-instant response times. Even a few hundred milliseconds of latency from routing signals via a centralised cloud environment is enough to break real-time workflows. The processing has to happen at or near the venue.

High-throughput editorial. When an editor is cutting native 4K or 6K footage, pulling frames from cloud storage over a public internet connection introduces visible lag that breaks creative flow. Local or facility-level storage with a fast, managed connection to cloud for backup and collaboration is the pattern that actually works.

Distributed grading and finishing. Colour-critical work requires consistent, predictable performance. A colourist cannot grade effectively if the system response varies depending on cloud load or network congestion. On-premise infrastructure handles the primary work; cloud handles overflow rendering and remote access for client review.

In each case, the answer is not to abandon cloud. It is to stop expecting cloud to do what proximity-dependent infrastructure is better suited for.

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What we see in practice

A VFX facility we work with had moved the majority of their pipeline to cloud over two years. Render farm, asset storage, review tools all cloud-hosted. It worked well for most of the workflow.

The persistent problem was their on-premise workstations. Artists were accessing cloud-hosted assets over a public internet connection because no one had addressed the first mile the connection between the facility and the cloud environment. Response times were acceptable for most tasks but unpredictable under load. On heavy simulation days, performance degraded enough that artists were duplicating assets locally to work around it, recreating exactly the version control and duplication problems the cloud migration had been designed to solve.

Adding Sohonet Core as a direct, private connection between the facility and their cloud provider rather than routing via public internet resolved the variability. The facility became a properly connected edge node rather than an endpoint that happened to have cloud access. Artists stopped duplicating assets because they no longer needed to.

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The connectivity layer that makes edge work

Edge infrastructure without reliable connectivity is just isolated infrastructure. The value of positioning compute and storage closer to where work happens depends entirely on those edge locations being well-connected to each other and to centralised systems.

This is where Media Fabric comes in. It provides the managed infrastructure layer that connects edge locations facilities, on-set environments, regional hubs to cloud environments and to each other, via Sohonet Core private network connectivity and direct cloud access.

Rather than each facility managing its own connection to cloud and its own links to partner facilities, Media Fabric handles that as a unified managed environment. The result is that edge locations behave as connected nodes in a coherent system rather than isolated outposts that happen to have internet access.

For on-set production specifically, Media Fabric On-Set Connectivity deploys the same managed infrastructure approach at venues and locations so the signal chain from camera to cloud operates on the same reliable, performance-optimised foundation as the rest of the production pipeline.

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Latency in practice: what the numbers mean

Sub-100ms latency is the threshold that makes distributed collaboration feel like working in the same room. Above it, the delay becomes perceptible review sessions lose synchronisation, real-time tools introduce lag, and the cognitive overhead of working around latency starts to affect creative decision-making.

Sohonet Core delivers sub-100ms latency between connected facilities on the private network. That figure matters practically: a colourist in London and a client in Amsterdam reviewing the same grade simultaneously can work with the confidence that what they are seeing is synchronised. The same session over a public internet connection with variable latency cannot offer that guarantee.

Edge infrastructure facilities properly connected via a private network rather than relying on public internet routing is what makes that latency figure achievable at scale.

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Getting the balance right

The right hybrid model distributes workloads based on what each environment is best suited for, and connects them well enough that the boundary between them is invisible to the people doing the work.

Cloud handles elastic workloads where scale matters more than latency: render farms, long-term archive, global distribution, scalable transcoding.

Edge handles latency-sensitive, high-throughput workloads where proximity matters: editorial, grading, on-set production, real-time collaboration.

The connection between them fast, private, managed is what determines whether the hybrid model works in practice or just in theory.

Productions that have this right tend to share a common characteristic: they stopped treating their facility infrastructure and their cloud infrastructure as separate decisions managed by separate vendors, and started treating them as one connected system. That shift is what Media Fabric is designed to enable.

Want to understand where your current infrastructure sits on the cloud-edge balance? Book a 30-minute conversation with a Sohonet solutions engineer we will map your workflow against your infrastructure and show you where the performance gaps are.

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FAQ

What is edge infrastructure in media production?

‍Edge infrastructure refers to compute, storage, and connectivity resources positioned close to where production work is happening at a facility, on location, or at a regional hub rather than centralised in a cloud data centre. The goal is to reduce the distance data has to travel for latency-sensitive or high-throughput tasks.

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Why is cloud alone not sufficient for media production?

‍Cloud works best when latency and data proximity do not matter. In media production, many critical workflows on-set real-time processing, high-throughput editorial, colour-critical finishing require response times that centralised cloud environments cannot consistently deliver, particularly when accessed over public internet connections.

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What is the difference between cloud and edge in a production context?

‍Cloud provides scalability and centralisation for elastic workloads. Edge provides performance and proximity for latency-sensitive workloads. Most modern production pipelines need both, with workloads distributed based on what each environment handles best.

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How does Sohonet Core support edge infrastructure?

‍Sohonet Core provides private, uncontended network connectivity between facilities, on-set locations, and cloud environments. By connecting edge locations via a private network rather than public internet, it delivers consistent low-latency performance that makes hybrid infrastructure function reliably rather than unpredictably.

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What does Media Fabric do in a hybrid cloud and edge environment?

‍Media Fabric provides a unified managed infrastructure layer that connects edge locations and cloud environments into a single coherent system handling connectivity, cloud access, security, and file movement so production teams can work across both without managing the complexity of each separately.

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