Invention Publication
- Patent Title: EXTENDING MACHINE LEARNING WORKLOADS
-
Application No.: US17538130Application Date: 2021-11-30
-
Publication No.: US20230168950A1Publication Date: 2023-06-01
- Inventor: Myungjin Lee , Harshit Daga , Ramana Rao V. R. Kompella
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: G06F9/54
- IPC: G06F9/54 ; G06N20/00

Abstract:
In one embodiment, a device presents information regarding an upstream machine learning workload and a downstream machine learning workload via a user interface. The device receives, via the user interface, a request to form a combined machine learning workload by connecting the upstream machine learning workload and the downstream machine learning workload. The device identifies, after receiving the request, a node associated with the upstream machine learning workload and a node associated with the downstream machine learning workload. The device forms the combined machine learning workload by configuring the node associated with the upstream machine learning workload to use one or more connector application programming interfaces to send data from the upstream machine learning workload to the node associated with the downstream machine learning workload for consumption.
Public/Granted literature
- US11822976B2 Extending machine learning workloads Public/Granted day:2023-11-21
Information query