---
title: "Why the Frontend Should Run AI Models Locally With ONNX"
url: https://daily.dev/posts/why-the-frontend-should-run-ai-models-locally-with-onnx-9gibps5oh
source_url: https://thenewstack.io/why-the-frontend-should-run-ai-models-locally-with-onnx/
type: article
source: "The New Stack"
published: 2025-11-12T18:02:47.299Z
updated: 2025-11-12T18:03:13.853Z
tags: ["machine-learning", "frontend", "privacy", "angular"]
reading_time: 8
upvotes: 56
comments: 5
language: en
---

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# Why the Frontend Should Run AI Models Locally With ONNX

**[The New Stack](https://daily.dev/sources/newstack)** · 8 min read · 56 upvotes · 5 comments

## Summary

Running AI models locally in the browser using ONNX Runtime Web offers significant advantages over cloud-based approaches. Local execution eliminates privacy concerns by keeping sensitive data on-device, enables offline functionality, and provides instant feedback loops. ONNX acts as a universal format for ML models, allowing models trained in PyTorch or TensorFlow to run anywhere via JavaScript. Angular's Signals feature (v16+) provides the performance isolation needed for heavy inference operations. The approach enables mixing local models for low-latency tasks with cloud calls for complex reasoning, while maintaining transparency about data handling.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/why-the-frontend-should-run-ai-models-locally-with-onnx/>

## Community discussion

Top comments from developers on daily.dev.

**@gabsal** · 8 upvotes

> why the xbox for the thumbnail ?

**@abhishekdeb** · 1 upvotes

> Lightweight sentence transformers can be run on onnx.
> Yet to see inference optimisations with web assembly furthermore. But there is always limitation on how much can be deffered to local assets (file size, network, io).
> I can clearly see frontend inferences as secondary / partial features as of now. But for heavy content generation, a user might prefer fast inferencing and wouldn’t care about if its frontend or cloud based (data privacy concerned people would anyway run it from their own cloud/ vpc).
> Quite interesting and hopeful for the future.

**@mostafarezaie** · 0 upvotes

> ‌Nice one and now is the LLMs era, and for that purpose we use Ollama.

**@seiggy** · 0 upvotes

> ONNX doesn't support tool and function calling. So, it's nice for plain, simple SLM work. But useless beyond that.

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#frontend](https://daily.dev/tags/frontend), [#privacy](https://daily.dev/tags/privacy), [#angular](https://daily.dev/tags/angular)

[View this post on daily.dev](https://daily.dev/posts/why-the-frontend-should-run-ai-models-locally-with-onnx-9gibps5oh)