Unverified50% confidenceBenchmarkExact time
Using a calibrated cost model, the learned router requires only six GPUs to achieve the goodput that a round-robin policy achieves with seven GPUs, equivalent to roughly a 14% reduction in GPU investment.
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9/16/2026
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Unverified一个拥有10,000块GPU的训练集群，假设单块GPU年故障率为3%，平均每天约有一块GPU出现问题74% similarVerifiedDuring large model inference, actual GPU utilization is often less than 10%.72% similarVerifiedDuring the autoregressive decoding phase, GPU compute utilization is often less than 10%, making it a memory-intensive operation.71% similarUnverifiedUsing a GPT-3.5-level model for simple tasks costs approximately 1/20 of flagship model pricing, and proper LLM routing can reduce overall inference costs by 60%–80%.70% similar
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