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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 views39 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 Introducing Contextpress: The Python Library That Refactors Your LLM Context Claude Code Isn’t Just a Terminal Anymore: Subagents, Agent Teams, Plugins, and MCP, Explained… I Took an Actual Claude Code Course So I’d Stop Prompting Like a Layman.
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