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i’ve been following the progress of various local AI setups, and this recent thread about a successful 2×3090 configuration has really caught my attention. The user describes their experience with a ‘budget’ setup that now achieves impressive performance without relying on cloud services.
With tools like this GitHub repository, even those with modest hardware are seeing substantial improvements in both throughput and task completion speed. The user notes a significant jump from their initial WSL2 setup to one running Ubuntu as a dual-boot, achieving over 4000 prompt processing per second (pp/s) and more than 113 token generation per second (tk/s).
- This development is crucial for decentralizing AI services, making them more accessible and faster.
- It paves the way for smaller models to achieve state-of-the-art performance without needing cloud infrastructure.
- The potential of frontier-class intelligence in these local setups could revolutionize how we interact with AI on a daily basis.
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Originally published at reddit.com. Curated by AI Maestro.
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