ended5월 27일· 1 sources

유휴 Inference GPU Pool을 이용한 GPU Job 스케줄링

Why it matters

LG AI Research's approach demonstrates how to overcome GPU scarcity by optimizing operational structures rather than simply increasing hardware investments. By utilizing vLLM-based metrics and a Best-effort scheduling strategy, organizations can significantly reduce costs while maintaining service stability. This model provides a practical blueprint for LLM-driven enterprises to maximize resource utilization in an era of expensive compute.

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GPU Job SchedulingvLLMArgo WorkflowsInfrastructure EfficiencyInference Pool

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