PetPS: A Persistent‑Memory Parameter Server for Large‑Scale Embedding Models
PetPS introduces a persistent‑memory‑based parameter server that redesigns indexing with the PetHash hash table and offloads parameter aggregation to NIC Gathering, achieving up to 1.7× higher throughput and significantly lower latency for industrial‑scale embedding models in recommendation, search, and advertising workloads.