| Little bit of ghetto engineering and cooling issue solved lol. [link] [comments] |
79C full load before, 42C full load after
Reddit r/LocalLLaMA / 3/12/2026
💬 OpinionDeveloper Stack & InfrastructureTools & Practical UsageModels & Research
Key Points
- The Reddit post documents a cooling upgrade for a LocalLLaMA setup, reducing full-load temperature from 79°C to 42°C.
- The fix is described as a 'ghetto engineering' hack, implying a low-cost, improvised solution rather than a formal hardware design.
- The linked images showcase the before/after results and confirm the dramatic thermal improvement in practice.
- This example highlights practical hardware optimization methods that enable more reliable AI model hosting on consumer hardware.
Related Articles
The massive shift toward edge computing and local processing
Dev.to
Self-Refining Agents in Spec-Driven Development
Dev.to
How to Optimize Your LinkedIn Profile with AI in 2026 (Get Found by Recruiters)
Dev.to
Agentforce Builder: How to Build AI Agents in Salesforce
Dev.to
How AI Consulting Services Support Staff Development in Dubai
Dev.to