·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Block’s new voice model sounds eerily human1h◆Forced to pick, Grok’s AI model chooses Republicans. OpenAI’s picks Democrats.2h◆Here are the top AI agents that can live in your text messages3h◆OpenAI says it will no longer train its AI models on the live internet, citing “significant risks”18h◆Hottest toy for Christmas? Nvidia CEO plays with adorable Microduck robots, 20,000 sell19h◆OpenAI now trains its frontier AI models with no internet access20h◆Jack Dorsey’s Block made an AI model that talks to you like an awkward new friend22h◆From Toast to Bessemer: Who founders will hear from at TechCrunch Founder Summit 202622h◆The iPhone Duo should have been an iPad1d◆Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)1d◆Now Google says it might use your Gmail and Google Photos data to target ads1d◆LitPivot: Developing research ideas through dynamic contextualization within the literature landscape1d◆Meta delays new business terms after publisher pushback on AI scraping1d◆Retro gaming is being overrun with AI1d◆Securing our frontier model training environment1d◆VeriEvolve: Evaluator-First Evolution for Tool-Using Agents1d◆TNODEV: Toolbox for Neural ODE Verification1d◆Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding1d◆On the Expressive Power and Limitations of Multi-Layer SSMs1d◆From Weather to Enhanced Weathering: Weather Foundation Models for Carbon Dioxide Removal at Operational Scale1d◆Block’s new voice model sounds eerily human1h◆Forced to pick, Grok’s AI model chooses Republicans. OpenAI’s picks Democrats.2h◆Here are the top AI agents that can live in your text messages3h◆OpenAI says it will no longer train its AI models on the live internet, citing “significant risks”18h◆Hottest toy for Christmas? Nvidia CEO plays with adorable Microduck robots, 20,000 sell19h◆OpenAI now trains its frontier AI models with no internet access20h◆Jack Dorsey’s Block made an AI model that talks to you like an awkward new friend22h◆From Toast to Bessemer: Who founders will hear from at TechCrunch Founder Summit 202622h◆The iPhone Duo should have been an iPad1d◆Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)1d◆Now Google says it might use your Gmail and Google Photos data to target ads1d◆LitPivot: Developing research ideas through dynamic contextualization within the literature landscape1d◆Meta delays new business terms after publisher pushback on AI scraping1d◆Retro gaming is being overrun with AI1d◆Securing our frontier model training environment1d◆VeriEvolve: Evaluator-First Evolution for Tool-Using Agents1d◆TNODEV: Toolbox for Neural ODE Verification1d◆Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding1d◆On the Expressive Power and Limitations of Multi-Layer SSMs1d◆From Weather to Enhanced Weathering: Weather Foundation Models for Carbon Dioxide Removal at Operational Scale1d◆
News/Energy-Efficient On-Device RAG on a Mobile NPU: System Design and Benchmark on Snapdragon X Elite
arxiv
PublishedJune 12, 2026 at 4:00 AM
▲bullish

Energy-Efficient On-Device RAG on a Mobile NPU: System Design and Benchmark on Snapdragon X Elite

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2606.11257v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) pipelines are compute-intensive, combining embedding, retrieval, reranking, and large language model (LLM) generation. Running them entirely on-device benefits privacy, latency, and offline use, but the energy cos

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Mentioned models
01
  • 01
    GPT-4.1
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#edge-intelligence#energy-efficiency#on-device#retrieval-augmented-generation
Mentioned companies
05
QualcommDellAppleIntelMediaTek

No replies yet. Be first.

Mentioned models
01
  • 01
    GPT-4.1
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#edge-intelligence#energy-efficiency#on-device#retrieval-augmented-generation
Mentioned companies
05
QualcommDellAppleIntelMediaTek

Related coverage

More from ARXIV
arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents1darxivTNODEV: Toolbox for Neural ODE Verification1darxivLearning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding1darxivOn the Expressive Power and Limitations of Multi-Layer SSMs1d
The Bubble Brief
MON · WED · FRI

Read edge-intelligence insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews