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Jetson Nano performance with embedding models for RAG discussed on Reddit

By PulseAugur Editorial · [1 sources] ·

A user on the r/LocalLLaMA subreddit is inquiring about the performance of text embedding models on the Jetson Nano, specifically for use in Retrieval-Augmented Generation (RAG) applications. They are seeking information on the speed of these models, citing the microsoft/harrier-oss-v1-0.6b model as an example. AI

RANK_REASON User-generated content on a niche subreddit about hardware performance for a specific AI task.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Jetson Nano performance with embedding models for RAG discussed on Reddit

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Meme
User-generated content on a niche subreddit about hardware performance for a specific AI task.
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infra, product
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High
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47 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/S_Anv ·

    Jetson Nano with embedding models

    <!-- SC_OFF --><div class="md"><p>Hello!<br /> Does anyone tried text embedding models on Jetson Nano 2/4Gb? I need it for the RAG.<br /> I want to know the speed. For example microsoft/harrier-oss-v1-0.6b</p> </div><!-- SC_ON --> &#32; submitted by &#32; <a href="https://www.red…

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