Floodlight notes
Technical notes from the work: domain data, crawling, bot traffic, local AI, small-server operations, and the decisions behind the products.
How we got a 125-billion-parameter mixture-of-experts model answering at 55-68 tokens a second on a used RX 7900 XTX, a used i9-13900KF and 96 GB of mismatched second-hand DDR4, using the open-source Strata runtime.
Read post →TradeBot is a Floodlight Labs research system for automated trading. The strategy is the small part. The interesting part is the experiment harness — regime-labeled backtests, held-out data, promotion gates, and a commit log full of rejected ideas.
Read post →A small open-source daemon that keeps an AMD GPU in low-power idle when it's doing nothing and automatically applies inference-tuned clocks the moment a local AI workload starts.
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