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Palo Alto Networks describes serving small language models with SGLang for threat detection

2 articles1 sourcesince Nov 4Last article 2h ago ·

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Palo Alto Networks authors Zhemin Su and Matthew Schulz describe how they serve small language models with SGLang to detect malicious traffic, according to a post by the SGLang project account LMSYS Org on X dated November 4, 2026.

The post focuses on low-latency, high-throughput serving for real-time threat detection. The report does not include benchmark figures, deployment scale, or product availability.

Written by AI from the articles below · updated Nov 4, 5:54 PM ET

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Latest developmentNov 4, 5:36 PM ET
Palo Alto Networks explains serving small language models with SGLang for threat detection

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The articles in this story. Times are ET.

Nov 4
  1. LMSYS OrgOfficial
    Palo Alto Networks serves small language models with SGLang for threat detection

    AIPalo Alto Networks' Zhemin Su and Matthew Schulz describe serving small language models with SGLang for malicious traffic detection. The post focuses on low-latency, high-throughput serving for real-time threat detection.

    Image from @lmsysorg's post
  2. LMSYS OrgOfficial
    Palo Alto Networks explains serving small language models with SGLang for threat detection

    AIPalo Alto Networks authors Zhemin Su and Matthew Schulz describe serving small language models with SGLang for malicious traffic detection. The post focuses on low-latency, high-throughput serving for real-time threat detection.

    Image from @lmsysorg's post

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