StreamPilot vs Vagon Streams

It depends on whether you already have a GPU and how often you stream. StreamPilot is a $225 one-time licence — no recurring cost, ever. If you stream daily for client reviews on a machine you already own, the total cost over 2-5 years is just $225. Vagon Streams uses subscription plus consumption pricing, which means a monthly base fee even when you're not streaming, plus per-streaming-hour charges when you are. For low-volume client-review use cases, StreamPilot wins economically by a wide margin. For high-volume always-on streaming on a machine you don't own, Vagon can work out better because you'd otherwise need to buy a GPU machine. The breakeven point depends on your local hardware cost and streaming hours per month.

Different answers. With Vagon Streams, you upload your packaged Unreal Engine build to their cloud — they run it on their GPU instance and stream the result to viewers. This means your build leaves your machine and lives on their infrastructure. With StreamPilot, you don't upload anywhere. Your build stays on your local Windows machine; StreamPilot just opens an outbound Cloudflare tunnel that lets viewers connect to the stream that's already running locally. For IP-sensitive client work (NDAs, unreleased product designs), the StreamPilot model keeps the build under your physical control. For low-IP-sensitivity work where convenience matters more than custody, Vagon's upload-and-go workflow is faster.

Both platforms use WebRTC under the hood, so the streaming protocol itself is the same. Rendering quality differs based on the GPU running the build. With Vagon, render quality depends on whichever tier of cloud GPU you've subscribed to (T4, A10, etc.). With StreamPilot, render quality depends on your local GPU — an RTX 4090 will produce higher fidelity output than a T4 cloud instance. If you have a strong local GPU, StreamPilot's render quality typically exceeds equivalent-priced cloud tiers. If you don't, cloud GPU rentals can step up to higher tiers than you could justify buying outright. Network latency depends more on viewer location than on the choice between local Cloudflare tunnels and Vagon's CDN — both add roughly 5-15ms over the underlying network path.

Yes, and it's a reasonable workflow for some studios. The pattern: use StreamPilot for day-to-day client reviews and small-team demos where you control the schedule (and pay nothing recurring), then spin up Vagon when you have a launch event or surge audience where elastic cloud scale is genuinely needed. This is the "hybrid" approach to Pixel Streaming infrastructure, and it gives you predictable baseline cost (StreamPilot's $225 one-time) plus on-demand cloud capacity for the rare moments you need it. The two tools don't interfere with each other — they each consume the same packaged UE build.

For archviz workflow specifically, StreamPilot has an architectural advantage. Archviz studios typically already invest in high-end GPUs for Lumen, Nanite, and ray-traced rendering at scene-iteration time. Once you own that GPU, using it for occasional client-review streaming costs nothing extra. Vagon Streams' subscription-plus-consumption model adds recurring overhead on top of your existing hardware investment. The exception: if your archviz studio runs 24/7 always-on demos at trade shows or in client showrooms where the host machine can't be your workstation, Vagon's cloud-hosted model is cleaner because it removes the host-machine dependency. For the standard archviz client review use case — book a slot, run the build for the meeting, take it down — StreamPilot wins economically and gives you the highest render fidelity your local GPU can produce.

Latency depends entirely on geographic distance between the rendering GPU and the viewer. With Vagon Streams, the cloud GPU pool is usually in a major data centre region (US East, Europe, etc.) — viewers near that region get low latency, viewers far away get higher latency. With StreamPilot, the rendering happens on your physical machine, and Cloudflare's tunnel routes the connection through their nearest edge node to the viewer (Cloudflare has 300+ POPs globally). The added tunnel overhead is roughly 5 to 15 milliseconds. Practically: if you're rendering in Kerala and showing to a client in Mumbai, both tools will feel instant. If you're rendering in Kerala and showing to a client in Los Angeles, Vagon's US-region GPU will outperform a Cloudflare tunnel back to your Kerala machine, simply because the rendering source is closer to the viewer. The choice between local-GPU-plus-tunnel and cloud-GPU-plus-CDN comes down to whether your viewer audience is regionally clustered or globally distributed.