30Design inference for a 1T-parameter mixture-of-experts model: expert parallelism on an NVL72 rack, the attention cache, balance.▼expertNewOpenAIDeepSeekFireworks4 replies◆ premiumA trillion parameters with 32 billion active per token: the weights need a rack, the compute needs a fraction of it, and the all-to-all between them decides everything. The memory plan across 72 GPUs, the decode step from bandwidth and two all-to-alls, the compressed attention cache, and what imbalance costs.Open full answer →
17Route requests to replicas by prefix using a consistent hash ring. Why virtual nodes, and how many?▼hardNewSGLangAnthropic4 replies○ sign inA plain hash ring with one point per replica measured a 47-fold load imbalance across eight replicas. With 150 virtual nodes each it fell to 1.19-fold, and adding a ninth replica moved 11.9 percent of keys against an ideal of 11.1. Both numbers, and what they cost.Open full answer →