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I recently came across a post on Reddit discussing the progress made with local AI setups, specifically mentioning improvements to the club-3090 framework. The poster highlighted how even modest hardware configurations are now capable of running powerful models like Qwen 3.6 with impressive performance.
- The author noted a significant improvement in throughput from their previous setup, achieving 4000 prompt processing per second (pp/s) and 113 tool calls per second (tk/s).
- This level of performance is comparable to more advanced cloud-based setups but without the need for expensive hardware like NVIDIA GPUs or specialized clusters.
- The author expresses excitement about this new frontier, particularly regarding how smaller models might achieve impressive intelligence in the near future, potentially even surpassing what was previously thought possible with larger models.
These developments are crucial as they demonstrate that local AI can match and sometimes outperform cloud-based solutions, opening up new possibilities for deployment across a wider range of environments without reliance on centralized infrastructure. This shift could lead to more flexible and resilient AI systems, especially in scenarios where internet connectivity might be unreliable or expensive.
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### Takeaways
– Local AI setups are now capable of matching the performance of cloud-based solutions.
– Smaller models may achieve impressive intelligence in the near future, potentially surpassing what was previously thought possible with larger models.
– This development opens up new possibilities for more flexible and resilient AI systems.
Originally published at reddit.com. Curated by AI Maestro.
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