The did explain a little bit:

> We’ll be able to do things like run fast models on the edge, run model pipelines on instantly-booting Workers, stream model inputs and outputs with WebRTC, etc.

Benefit to 3rd party developers is reducing latency and improving robustness of AI pipeline. Instead of going back and forth with https request at each stage to do inference you could make all in one request, e.g. doing realtime, pipelined STT, text translation, some backend logic, TTS and back to user mobile device.

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weird-eye-issue 6 hours ago | parent | next [-]

You are seemingly answering something that they did not ask at all

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badmonster 6 hours ago | parent | prev [-]

Does edge inference really solve the latency issue for most use cases? How does cost compare at scale?

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viraptor 6 hours ago | parent [-]

Depends on how much the latency matters to you and the customers. Most services realistically won't gain much at all. Even the latency of normal web requests is very rarely relevant. Only the business itself and answer that question though.

	▲	chrisweekly an hour ago \| parent [-]
		> "Even the latency of normal web requests is very rarely relevant." Hard disagree. Performance is typically the most important feature for any website. User abandonment / bounce rate follows a predictable, steep, nonlinear curve based on latency.