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Same DGX Spark. Same Qwen3.8 Flash Next. Just better software.

Same DGX Spark. Same Qwen3.8 Flash Next. Just better software. @MiaAI_lab tuned it on TensorFold, the engine @ashxhart…

This is a dev post classified by AGK Intelligence as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.

Same DGX Spark. Same Qwen3.8 Flash Next. Just better software. @MiaAI_lab tuned it on TensorFold, the engine @ashxhart built, and measured: • +50.5% code throughput (average over 1–5 requests) • +62.7% on a single request • +23.5% prose • +11.7% prefill (+13.8% from 4k to 32k) A code answer that took 11 seconds now takes under 7. No new hardware. Huge credit to Mia for the tuning and the careful benchmarks, and to Ash for the engine underneath. 🧭 For us running many agents.. (6) Sparks now operate like (9).. love this quant recipe for my agents... thanks again.

Posted by Chad Hurley is Volatile Markets (2.7k followers) 3 days ago · 71 likes · 5.5k views · view the original post on X. Kept by the Dev Radar as AI dev tools.

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