Serving a local model from a Raspberry Pi: one process for browsers (SSE) and devices (MQTT)
Article summary
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You have a small box — a Raspberry Pi, a Jetson, a cheap ARM VM — running a local model. Two kinds of traffic want in: People (browser tabs, curl , httpx scripts) call an HTTP endpoint and want the answer streamed token by token , not after the last token. Devices (sensors, cameras, controllers) speak MQTT . They report telemetry and drop batch jobs. The conventional stack for that is three or four daemons: an web application server, a reverse proxy in front of it for HTTP/2, a separate MQTT…
1Key Takeaways
- You have a small box — a Raspberry Pi, a Jetson, a cheap ARM VM — running a local model.
- Two kinds of traffic want in: People (browser tabs, curl , httpx scripts) call an HTTP endpoint and want the answer streamed token by token , not after the last token.
- Devices (sensors, cameras, controllers) speak MQTT .
- They report telemetry and drop batch jobs.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that you have a small box — a Raspberry Pi, a Jetson, a cheap ARM VM — running a local model.
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