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[ARTICLE · art-37721] src=pub.towardsai.net ↗ pub= topic=large-language-models verified=true sentiment=↑ positive

Stop Crashing and Start Cooking with vLLM on AMD and Lemonade Server

A developer achieved 3x better batch throughput with Qwen3.5 by fixing vLLM on AMD's Strix Halo using the Lemonade Server, enabling more efficient AI inference on AMD hardware.

read1 min views3 publishedJun 24, 2026

How I Fixed vLLM on Strix Halo and Got 3x Better Batch Throughput with Qwen3.5 Continue reading on Towards AI »

source & further reading
pub.towardsai.net — original article RAG Evaluation 101: What to Measure (and What Not to) Sakana AI Wrapped an Entire Multi-Agent System Into One API (And It Beats Frontier Models on… Context Rot: Why Longer Windows Are Making Your AI Dumber, Not Smarter
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