推論系統
TEMPO Assigns MoE Experts Based on Measured Runtime, Cutting Qwen3-235B p99 Token Latency by About 15.6%
Rather than balancing only tokens or the number of active experts, TEMPO estimates both HBM weight-loading costs and GEMM tile padding. An SGLang prototype improves throughput by 4% to 6% on some Qwen3-235B workloads, but adds only overhead on the communication-bound DeepSeek-V3.