Hark describes scaling multimodal data curation with SGLang and KubeRay
Overview
Hark engineers Kai-Hsun Chen and Cindy Zhang describe how the company scales multimodal data curation using SGLang and KubeRay, according to a post from the LMSYS Org account on X. The post covers GPU orchestration and faster startup for inference workers.
The reports do not include figures for throughput, cost, or startup time, so the post's performance claims cannot be checked from the available material.
Written by AI from the articles below · updated Nov 4, 5:54 PM ET
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LMSYS Org@lmsysorgOfficialHark details multimodal data curation with SGLang and KubeRayAIHark engineers Kai-Hsun Chen and Cindy Zhang describe how they scale multimodal data curation with SGLang and KubeRay. The post covers GPU orchestration and faster inference-worker startup.

LMSYS Org@lmsysorgOfficialHark scales multimodal data curation with SGLang and KubeRayAIHark's Kai-Hsun Chen and Cindy Zhang describe scaling multimodal data curation with SGLang and KubeRay. The post covers GPU orchestration and faster inference-worker startup.

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