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I recently came across a post on Reddit about a group called ‘Club-3090.’ The group has successfully patched and improved the performance of their local AI setup, specifically focusing on LLaMA 2. This achievement is significant because it demonstrates that even relatively modest hardware can now handle high-performance AI tasks locally without relying on cloud services.
For instance, a user reported achieving impressive results with a combination of Ubuntu as a dual-boot system and the Club-3090 setup, which resulted in over 4000 prompt processing per second (pp/s) and nearly 113 tool calls per second (tk/s). This level of performance is comparable to using state-of-the-art cloud-based AI models but without the latency or cost associated with remote computation.
- This breakthrough opens up new possibilities for local AI applications, such as running SSH sessions on Linux computers and performing useful tasks like code reviews.
- The community’s excitement is palpable, with some speculating about reaching frontier-class intelligence in smaller models within the next year. This could lead to a shift towards more autonomous AI solutions that operate entirely locally.
- As local AI becomes more viable and efficient, it may reduce dependency on cloud services, potentially lowering costs and improving privacy for users who value these aspects.
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Originally published at reddit.com. Curated by AI Maestro.
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