Latest / The Edge Computing Podcast with Fexingo: Local Compute, CDNs, and Distributed Infrastructure / How Edge Computing Is Unlocking Real-Time Collaborative Design for Architecture
Transcript
- Lucas: So we talk a lot on this show about edge computing in manufacturing, in retail, in autonomous vehicles. But there is a less obvious use case that is quietly reshaping an entire creative industry: architecture. Luna: Architecture? As in designing buildings, with blueprints and scale models? Lucas: Exactly. Except the blueprints are now building information models — BIM files that can be hundreds of gigabytes, with every structural beam, HVAC duct, and electrical outlet rendered in 3D. And architects are increasingly collaborating on these models in real time, from offices in different cities, even different continents. Luna: Right, and I imagine the traditional way to do that is to sync everything through the cloud — send the model up, let everyone work on it, download it back down. Lucas: That's the old way. And it works — up to a point. But the problem is latency. Every time you rotate a model, zoom in, or change a wall thickness, you're sending that update to a cloud server maybe hundreds of miles away. Round-trip times add up. For a team in Austin and a team in Tokyo, you're looking at 100, 150 milliseconds of lag just for data transfer. Then the cloud server has to re-render the view. Total latency can hit 12 seconds or more for a complex model. Luna: And architects are not going to wait 12 seconds every time they nudge a wall. That kills the creative flow. Lucas: Exactly. And that's where edge computing comes in. Instead of sending everything to a centralized cloud, you place gpu powered edge servers at each office location. Each edge node handles the local rendering and real-time collaboration for that site. Changes are synced between nodes in the background using a federated data model. Luna: So each office has its own mini server farm, essentially. What kind of hardware are we talking about? Lucas: The go-to platform right now is Nvidia's Jetson lineup — specifically the Jetson AGX Orin, which packs a GPU capable of real-time ray tracing and ai assisted rendering. A single Jetson module can handle a BIM model with millions of polygons. You pair that with a local SSD array and a 10-gigabit fiber connection between offices. The total cost for a small firm is around 15,000 to 20,000 dollars per location. Luna: And that replaces what would be a much more expensive cloud subscription over time? Or is it an addition? Lucas: It's often a replacement. Many architecture firms were paying 30,000 to 50,000 a year for cloud rendering services. The edge setup pays for itself in under two years. Plus you get sub-millisecond local latency. I spoke with a 50-person firm in Austin that recently set this up. They have a Tokyo office of about 20 people. Before edge, their collaborative rendering latency averaged 12 seconds. Now it's under 300 milliseconds. Luna: That is a massive difference. And I imagine it changes how they work — they can actually iterate together in real time, like a design charrette but across oceans. Lucas: Exactly. The Austin firm told me they now use a shared virtual reality environment where architects in both offices can walk through the same building model simultaneously. Each person sees the other's avatar, they can point at elements, make changes that update instantly on both ends. The edge nodes handle the VR rendering locally, so each user gets 90 frames per second with no stutter. Luna: And that's not just a luxury — for complex projects, that kind of fluid collaboration can catch design conflicts early, before they become expensive change orders on the construction site. Lucas: Right. One of the biggest cost overruns in construction is rework caused by design inconsistencies — a structural beam intersecting with a duct, that kind of thing. Real-time collaborative BIM with edge latency lets teams catch those conflicts during the design phase. The firm I mentioned reduced rework-related costs by 18 percent in their first year. Luna: Before we go deeper — if today's conversation is giving you a new angle on how edge computing can transform a creative industry, the way we keep these episodes ad-free and focused is listener support. It's a simple thing — buy me a coffee dot com slash fexingo. That helps us keep digging into stories like this. Lucas: Yeah, it really does. And we appreciate it. So back to the architecture use case — there is also a security angle here that I think matters. Luna: Because the design data stays on local servers, not in the cloud. For a high-profile project — say a government building or a corporate headquarters — that is a real advantage. Lucas: Exactly. The BIM model for a large commercial building is essentially a digital blueprint of the entire structure. If that data is in a cloud data center, it becomes a potential target. With edge, the data never leaves the local network. The federated sync between offices uses encrypted peer to peer connections, but the raw model files stay on premises. Luna: So you're combining low latency with stronger data sovereignty. That's a compelling sell for any firm that handles sensitive designs. Lucas: And it's not just about security — it's also about reliability. Cloud services can go down. If your entire workflow depends on AWS or Azure, an outage can halt your team for hours. With edge, even if the inter-office link goes down, each office can continue working on their local copy. When the link comes back, the federated sync reconciles the changes automatically. Luna: What about the software side? Are there BIM tools that are built to run on edge hardware, or are firms having to customize? Lucas: The major BIM platforms — Autodesk Revit, Trimble SketchUp, Graphisoft Archicad — are starting to support edge deployment. Autodesk, for instance, has a product called Autodesk Fusion that can run on Nvidia's edge platform. And there is an open-source framework called Open3D that some firms use for custom collaborative features. The trend is definitely toward edge-native architecture. Luna: Pun intended. Lucas: I didn't even realize I said that. But yes, edge-native architecture for architecture. Luna: So who is adopting this beyond that Austin firm? Is it just the high-end, big-budget firms, or is there trickle-down? Lucas: It is starting with mid-size and large firms because the upfront investment is non-trivial. But the cost of edge hardware is dropping fast. Nvidia's Jetson Orin Nano, which is aimed at smaller deployments, costs around 500 dollars. A small practice with five to ten people could set up an edge node for under 5,000 dollars and get meaningful collaboration benefits. I think we'll see widespread adoption within three to five years. Luna: And what about the feedback from architects themselves? Do they feel the edge setup changes how they design? Lucas: The architects I've talked to say it's transformative. One designer in Tokyo told me that before edge, she would make a change and then wait — literally watch a loading spinner — before she could see the result. Now it's instant. She said it feels like working on a local file, even though she's collaborating with someone 6,000 miles away. That immediacy changes how you explore design options. You try more variations because there's no friction. Luna: That's the kind of qualitative benefit that is hard to quantify but hugely valuable. And it aligns with the broader edge computing trend: moving compute closer to where decisions are made. Lucas: Exactly. In architecture, the decision-making happens at the designer's fingertips. The edge node is just there to make that interaction seamless. And it's not just about rendering. Edge nodes can also run AI models that assist with design — for example, automatically checking if a wall placement meets building codes, or suggesting structural optimizations based on material properties. Luna: So the edge node becomes more than a rendering accelerator. It's a local AI co-pilot. Lucas: Precisely. And because the AI inference happens locally, you can use it in real time without any latency. Imagine drawing a beam and instantly seeing a heat map of stress points overlaid on your model. That's possible with edge AI. Some firms are already doing that with custom models trained on their own project data. Luna: Are there any downsides or challenges? I imagine the IT expertise required to set up and maintain these edge nodes is not trivial for a typical architecture firm. Lucas: That's the biggest hurdle. Most architecture firms don't have an IT department. They rely on cloud services precisely because they don't want to manage hardware. So edge adoption requires either hiring a part-time IT person or working with a managed service provider that specializes in edge deployments. There are companies starting to offer edge as a service — they install the hardware, maintain it, and charge a monthly fee. That model is gaining traction. Luna: So we might see a split: large firms buy and manage their own edge nodes, while small firms subscribe to edge services from a provider. Lucas: Exactly. And the providers are often the same cloud companies that you'd think edge would compete with. AWS has Outposts, Azure has Stack Edge, Google has Distributed Cloud. They'll sell you a managed edge node that runs their software stack. So it's not cloud versus edge — it's cloud extending to the edge. Luna: That is a key nuance. It's not a binary choice. The future is hybrid: cloud for heavy batch processing, edge for real-time interaction. Lucas: Right. And for architecture, the real-time interaction is where the value is. The cloud can handle overnight rendering of 4K walkthroughs or energy simulations. But during the workday, when designers are actively creating, edge is the better fit. Luna: So where do you see this going in the next five years? Will edge become the default for any firm doing collaborative BIM? Lucas: I think so. The cost trajectory is clear. And the younger generation of architects, who grew up with real-time multiplayer games, expects that level of responsiveness in their tools. They won't accept 12-second delays. So firms that want to attract top talent will need to provide that experience. Edge computing is the enabler. Luna: It's a compelling vision. And it's a great example of how edge computing is not just for factories and warehouses — it's for creative, knowledge-intensive work too. Lucas: Absolutely. Architecture is fundamentally about shaping the physical world. Having the digital tools to do that collaboratively, without friction, is a huge step forward. And edge computing is what makes that possible.