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INT8 vs FP8 Quantization: Why LLM Activations Have Outliers, and Why Scaling Granularity Matters

This story is from 2026-09-21. It is preserved in the archive; the latest stories are on the live feed.

Hello, I'm Shrijith Venkatramana, and I'm building LiveReview — a blast-radius aware AI code review built for your business-critical systems. Star us to help devs discover the project, give it a try, and share your feedback to help improve the product. A 70B-parameter model in FP16 needs roughly 14…

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  1. 2026-09-21 20:19 · DEV Community — AI
    INT8 vs FP8 Quantization: Why LLM Activations Have Outliers, and Why Scaling Granularity Matters

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