Story
Can I run AI locally?
1 report
1 website
1 discussion
Latest report
Overview
Detect your hardware and find out which AI models you can run locally. GPU, CPU, and RAM analysis in your browser.
Summary from canirun.ai.
Reports
One report so far. Additional coverage will appear here when it is linked to this story.
canirun.ai
Can I run AI locally?
Read report →
Community reactions
Each reaction summarizes sampled comments from the linked discussion.
Hacker News · canirun.ai
Hacker News discussion ↗
Historical count: 5 · 5 saved in sample · Historical sample
Analysis ready
Read this discussion’s reaction
Based on 5 sampled comments from this thread. Analyzed 2026-03-13.
- Praise: MoE models like GPT-OSS-20B can produce more tokens per second on the same hardware, making them efficient for local AI applications.
- Praise: Recent models like Qwen 3.5 show significant improvements in performance, indicating that advancements in AI are leading to better results even with smaller models.
- Concern: The estimation method for model performance based on memory bandwidth may not accurately reflect the capabilities of MoE models, leading to potential misunderstandings.
- Concern: Perplexity is a more critical metric than tokens per second, as high-speed outputs can still yield poor quality results, emphasizing the importance of quality over speed.