Baumbasierte Netzwerkarchitektur zur Beschleunigung Kollektiver Operationen für Maschinelles Lernen
Anmelder: Google LLC 🇺🇸
Details
- Veröffentlichungs-Nr.
- EP4586103
- Aktenzeichen
- EP24206191
- Anmeldetag
- 11. Oktober 2024
- Veröffentlichung
- 16. Juli 2025
- Rechtsraum
- EP
- IPC
- G06F15/78G06N3/063
Abstract
Aspects of the disclosure are directed to a tree-based network architecture for serving and/or training machine learning models. The architecture includes one or more multi-chip packages having a plurality of compute-memory stacks connected via an input/output (I/O) die. The I/O die includes an aggregator to aggregate computations from the compute-memory stacks. The architecture can further include a plurality of the multi-chip packages connected on a server via a server level aggregator and a plurality of the servers connected on a rack via a rack level aggregator for further aggregation of the computations from the compute-memory stacks. The tree-based network architecture allows for fewer hops, resulting in lower latency and savings in bandwidth when serving and/or training machine learning models.
Anmelder
- Firma
- Google LLC
- Land
- 🇺🇸 USA
US-amerikanisches Unternehmen, das Internetsuche, Onlinewerbung, Softwaredienste sowie Hard- und Software für Mobilgeräte, Cloud und künstliche Intelligenz entwickelt und betreibt.
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