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Local LLM runs offline on laptop during flight, but faces speed and battery challenges

An individual tested running a local Large Language Model (LLM) on a laptop during a flight, using Qwen 3.6 35B via Ollama and Claude Code on an M5 MacBook Pro. The setup successfully operated offline but was slower than cloud-based models and struggled with context length, leading to invented file names. The battery life was also a significant concern, draining quickly during use. AI

IMPACT Demonstrates the current limitations of running powerful LLMs locally on consumer hardware, highlighting challenges in speed, context, and battery efficiency for offline use.

RANK_REASON The item describes the practical use and limitations of a specific tool (local LLM on a laptop) in a real-world scenario.

Read on dev.to — LLM tag →

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

Local LLM runs offline on laptop during flight, but faces speed and battery challenges

How we ranked this

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The item describes the practical use and limitations of a specific tool (local LLM on a laptop) in a real-world scenario.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Pedro Dias ·

    Can you run a local LLM offline on a flight? What to check before you board

    <p>My flight to Faro had no Wi-Fi for sale, so I brought a coding assistant that runs on the laptop: <strong>Qwen 3.6 35B on Ollama</strong>, driven through Claude Code on an M5 MacBook Pro.</p> <p>It ran. It also answered slower than the frontier models I use every day and lost …