transformer-inference

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#transformer-inference

@FGuzmanAI: 56,000+ tokens/sec at just 80 MHz. I burned a full Transformer with KV cache into a custom chip. Designed gate by gate …

X AI KOLs Timeline · 3d ago Cached

A custom digital chip designed gate-by-gate achieves over 56,000 tokens/sec running a Transformer with KV cache at just 80 MHz, prototyped on an FPGA.

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#transformer-inference

@charles_irl: Tried to squeeze the most important bits about the entire stack for cloud deployment of transformer inference, from app…

X AI KOLs Following · 2026-06-10 Cached

This article provides a comprehensive overview of the complete technology stack for cloud deployment of Transformer inference, covering application scenarios, workload definition, models, inference engines, hardware, observability, and performance optimization, along with future trends.

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